Lawrence Carin

发表

Music analysis with a Bayesian dynamic model

David B. Dunson, Lu Ren, Scott Lindroth, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Analysis of wideband EMI field data

Yacine Dalichaouch, Brian W. Whitecotton, Lawrence Carin, 2005, SPIE Defense + Commercial Sensing.

Hierarchically-Structured Variational Autoencoders for Long Text Generation

Liqun Chen, Lawrence Carin, Dinghan Shen, 2018 .

Sparse Signal Recovery and Acquisition with Graphical Models

Volkan Cevher, Piotr Indyk, Richard G. Baraniuk, 2010, IEEE Signal Processing Magazine.

A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection

Leslie M. Collins, James R. McDonald, Jing Li, 2001, IEEE Trans. Fuzzy Syst..

Ultrawideband SAR for detection of subsurface unexploded ordnance (UXO): measurement, modeling, and signal processing

Lawrence Carin, Norbert Geng, Marc A. Ressler, 1999, Defense, Security, and Sensing.

Performance Assessment of Image Translation-engineered Point Spread Functions

Lawrence Carin, Patrick Llull, Galen Reeves, 2016 .

Analysis of Brain States from Multi-Region LFP Time-Series

Lawrence Carin, Wenzhao Lian, Kyle R. Ulrich, 2014, NIPS.

Supercharging Imbalanced Data Learning With Causal Representation Transfer pdf

Lawrence Carin, Chenyang Tao, Junya Chen, 2020, ArXiv.

Joint classifier and feature optimization for cancer diagnosis using gene expression data

Lawrence Carin, Balaji Krishnapuram, Alexander J. Hartemink, 2003, RECOMB '03.

Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information

A. Robert Calderbank, Galen Reeves, Xin Yuan, 2014, IEEE Transactions on Information Theory.

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements

A. Robert Calderbank, Volkan Cevher, Xin Yuan, 2015, SIAM J. Imaging Sci..

Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction

Lawrence Carin, Senem Velipasalar, Bai Li, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations

Guillermo Sapiro, Lu Ren, Lawrence Carin, 2009, NIPS.

Communication-Efficient Stochastic Gradient MCMC for Neural Networks

Lawrence Carin, Yunchen Pu, Chunyuan Li, 2019, AAAI.

Bayesian Compressive Sensing

Lawrence Carin, Shihao Ji, Ya Xue, 2008, IEEE Transactions on Signal Processing.

Classification of landmine-like metal targets using wideband electromagnetic induction

Leslie M. Collins, Lawrence Carin, Norbert Geng, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Towards Amortized Ranking-Critical Training for Collaborative Filtering pdf

Jianfeng Gao, Lawrence Carin, Chunyuan Li, 2019, ArXiv.

Reconsidering Generative Objectives For Counterfactual Reasoning

Lawrence Carin, Feng Guo, Chenyang Tao, 2020, NeurIPS.

Quadratically gated mixture of experts for incomplete data classification

Hui Li, Lawrence Carin, Xuejun Liao, 2007, ICML '07.

Ultra-wideband, short-pulse ground-penetrating radar: simulation and measurement

Lawrence Carin, Marc A. Ressler, Stanislav Vitebskiy, 1997, IEEE Trans. Geosci. Remote. Sens..

Analysis, design, and construction of a broadband balun for coaxial‐to‐planar transmission lines

Qing Huo Liu, Lawrence Carin, William T. Joines, 2005 .

Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis

Lawrence Carin, Shihao Ji, Nilanjan Dasgupta, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits pdf

Lawrence Carin, Zhao Song, Ronald E. Parr, 2018, ArXiv.

Detection of buried targets via active selection of labeled data: application to sensing subsurface UXO

Lawrence Carin, Yan Zhang, Xuejun Liao, 2004, IEEE Transactions on Geoscience and Remote Sensing.

Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices

David B. Dunson, Lawrence Carin, XianXing Zhang, 2011, NIPS.

Learning Multiple Classifiers with Dirichlet Process Mixture Priors

Lawrence Carin, Balaji Krishnapuram, Ya Xue, 2005 .

Deep learning?

Guillermo Sapiro, Lawrence Carin, David M. Blei, 1999 .

Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes

Lawrence Carin, Hongteng Xu, Dixin Luo, 2018, IJCAI.

Spectrally grouped total variation reconstruction for scatter imaging using ADMM

Joseph A. O'Sullivan, Lawrence Carin, David J. Brady, 2015, 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Target Identification from Multi-Aspect High Range-Resolution Radar Signatures Using a Hidden Markov Model

Lawrence Carin, Masahiko Nishimoto, Xuejun Liao, 2004 .

Zero-Shot Learning via Class-Conditioned Deep Generative Models

Kai Fan, Lawrence Carin, Piyush Rai, 2017, AAAI.

Multi-aspect detection of surface and shallow-buried unexploded ordnance via ultra-wideband synthetic aperture radar

Lawrence Carin, Marc A. Ressler, Yanting Dong, 2001, IEEE Trans. Geosci. Remote. Sens..

Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images

Lawrence Carin, Ricardo Henao, Serge Assaad, 2019, Medical Image Anal..

Chi-square Generative Adversarial Network

Jianfeng Feng, Lawrence Carin, Chenyang Tao, 2018, ICML.

Levy Measure Decompositions for the Beta and Gamma Processes pdf

Yingjian Wang, Lawrence Carin, L. Carin, 2012, ICML.

Advancing weakly supervised cross-domain alignment with optimal transport pdf

Liqun Chen, Lawrence Carin, Yizhe Zhang, 2020, BMVC.

Generalized Alternating Projection for Weighted-퓁2, 1 Minimization with Applications to Model-Based Compressive Sensing

Hui Li, Lawrence Carin, Xuejun Liao, 2014, SIAM J. Imaging Sci..

Preconditioned Spectral Descent for Deep Learning

Volkan Cevher, Lawrence Carin, David E. Carlson, 2015, NIPS.

Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection pdf

Lawrence Carin, John B. Sigman, Kevin J Liang, 2019, ArXiv.

Physics-based classification of targets in SAR imagery using subaperture sequences

Lawrence Carin, Paul Runkle, Gary Ybarra, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Bayesian Deep Deconvolutional Learning pdf

Xin Yuan, Lawrence Carin, Yunchen Pu, 2014, ArXiv.

Radial Basis Function Network for Multi-task Learning

Lawrence Carin, Xuejun Liao, L. Carin, 2005, NIPS.

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood

Xin Yuan, Lawrence Carin, Ricardo Henao, 2015, ICML.

Final Report on SIG Analysis of Sibert Data

David P. Williams, Lawrence Carin, Levi Kennedy, 2008 .

Electromagnetic Target Detection in Uncertain Media: Time-Reversal and Minimum-Variance Algorithms

Jeffrey L. Krolik, Lawrence Carin, Dehong Liu, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Deconvolutional Latent-Variable Model for Text Sequence Matching

Lawrence Carin, Dinghan Shen, Ricardo Henao, 2017, AAAI.

Infrared-Image Classification Using Hidden Markov Trees

Lawrence Carin, Priya Bharadwaj, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery

Guillermo Sapiro, Lawrence Carin, John B. Greer, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Reward Constrained Interactive Recommendation with Natural Language Feedback pdf

Hongxia Jin, Lawrence Carin, Changyou Chen, 2020, ArXiv.

Targeting EEG/LFP Synchrony with Neural Nets

Yitong Li, Lawrence Carin, David E. Carlson, 2017, NIPS.

Wave-based target identification via the method of matched pursuits

Lawrence Carin, Mark McClure, 1997, Defense, Security, and Sensing.

SUPPLEMENTARY MATERIAL FOR "BAYESIAN DEEP DECONVOLUTIONAL LEARNING"

Xin Yuan, Lawrence Carin, Yunchen Pu, 2015 .

Compressive Coded Aperture Spectral Imaging: An Introduction

Henry Arguello, Lawrence Carin, Gonzalo R. Arce, 2014, IEEE Signal Processing Magazine.

Deep Generative Models for Relational Data with Side Information

Lawrence Carin, Piyush Rai, Changwei Hu, 2017, ICML.

Airport detection in large aerial optical imagery

Lawrence Carin, Dehong Liu, Lihan He, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multiaspect acoustic identification of submerged elastic targets via wave-based matching pursuits and continuous hidden Markov models

Lawrence Carin, P. Runkle, Luise S. Couchman, 1999, Defense, Security, and Sensing.

Survival cluster analysis

Lawrence Carin, Ricardo Henao, Paidamoyo Chapfuwa, 2020, CHIL.

On the wideband EMI response of a rotationally symmetric permeable and conducting target

Yacine Dalichaouch, Alexander R. Perry, Peter V. Czipott, 2001, IEEE Trans. Geosci. Remote. Sens..

Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data

Lawrence Carin, Nilanjan Dasgupta, Luise S. Couchman, 2001, Signal Process..

Learning Dictionary with Spatial and Inter-dictionary Dependency

Lawrence Carin, Chunyuan Li, Ricardo Henao, 2015 .

Bayesian Nonparametric Weight Factorization for Continual Learning pdf

Lawrence Carin, Nikhil Mehta, Kevin J Liang, 2020, ArXiv.

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing pdf

Guoyin Wang, Lawrence Carin, Dinghan Shen, 2018, ACL.

Variational Gaussian Copula Inference pdf

David B. Dunson, Lawrence Carin, Xuejun Liao, 2015, AISTATS.

Towards Unifying Hamiltonian Monte Carlo and Slice Sampling

Xiangyu Wang, Kai Fan, Lawrence Carin, 2016, NIPS.

Bayesian Robust Principal Component Analysis

Lawrence Carin, Xinghao Ding, Lihan He, 2011, IEEE Transactions on Image Processing.

Collaborative Filtering with A Synthetic Feedback Loop pdf

Lawrence Carin, Hongteng Xu, Ruiyi Zhang, 2019, ArXiv.

Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies

Alfred O. Hero, David B. Dunson, Bo Chen, 2010, BMC Bioinformatics.

Leakage effects in broadside-coupled microstrip

Lawrence Carin, 1991, 1991 IEEE MTT-S International Microwave Symposium Digest.

Learning Structural Weight Uncertainty for Sequential Decision-Making

Lawrence Carin, Chunyuan Li, Changyou Chen, 2017, AISTATS.

Nonparametric factor analysis with beta process priors

Lawrence Carin, John W. Paisley, L. Carin, 2009, ICML '09.

Second-Order Adversarial Attack and Certifiable Robustness

Lawrence Carin, Changyou Chen, Bai Li, 2018, ArXiv.

Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data

David B. Dunson, Lawrence Carin, Kai Ni, 2008, IEEE Transactions on Signal Processing.

Leveraging Features and Networks for Probabilistic Tensor Decomposition

Yingjian Wang, Lawrence Carin, Piyush Rai, 2015, AAAI.

Summary of Progress on SIG Ft. Ord ESTCP DemVal

David P. Williams, Lawrence Carin, 2007 .

Bridging Maximum Likelihood and Adversarial Learning via $\alpha$-Divergence

Lawrence Carin, Yulai Cong, Miaoyun Zhao, 2020 .

Learning to Recommend from Sparse Data via Generative User Feedback

Lawrence Carin, Hongteng Xu, Ruiyi Zhang, 2019 .

Bayesian joint analysis of heterogeneous genomics data

Lawrence Carin, Priyadip Ray, Joseph E. Lucas, 2014, Bioinform..

Texture analysis with variational hidden Markov trees

Lawrence Carin, Nilanjan Dasgupta, 2006, IEEE Transactions on Signal Processing.

Cross-Spectral Factor Analysis

Lawrence Carin, Kyle R. Ulrich, David E. Carlson, 2017, NIPS.

UXO Discrimination Study Former Spencer Artillery Range

Lawrence Carin, Levi Kennedy, Todd Jobe, 2013 .

Learning Deep Sigmoid Belief Networks with Data Augmentation

Zhe Gan, Lawrence Carin, David E. Carlson, 2015, AISTATS.

The Infinite Regionalized Policy Representation

Lawrence Carin, Miao Liu, Xuejun Liao, 2011, ICML.

Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors

Lawrence Carin, Piyush Rai, Changwei Hu, 2015, UAI.

Diffusion Maps for Textual Network Embedding

Xinyuan Zhang, Yitong Li, Lawrence Carin, 2018, NeurIPS.

Cost-sensitive feature acquisition and classification

Lawrence Carin, Shihao Ji, L. Carin, 2007, Pattern Recognit..

GAN Memory with No Forgetting pdf

Sijia Wang, Lawrence Carin, Yulai Cong, 2020, NeurIPS.

Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings

Lawrence Carin, Piyush Rai, Ricardo Henao, 2015, NIPS.

Multi-task learning for sequential data via iHMMs and the nested Dirichlet process

David B. Dunson, Lawrence Carin, Kai Ni, 2007, ICML '07.

Joint Embedding of Words and Labels for Text Classification pdf

Guoyin Wang, Xinyuan Zhang, Lawrence Carin, 2018, ACL.

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model

Lawrence Carin, Hongteng Xu, F. Joseph McClernon, 2018, MLHC.

Coded aperture x-ray diffraction imaging with transmission computed tomography side-information

Lawrence Carin, David J. Brady, Joseph A. O'Sullivan, 2016, SPIE Medical Imaging.

HMM-based multiresolution image segmentation

Lawrence Carin, Jiuliu Lu, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Learning Structured Weight Uncertainty in Bayesian Neural Networks

Lawrence Carin, Shengyang Sun, Changyou Chen, 2017, AISTATS.

Deep Overcomplete Tensor Rank-Decompositions pdf

Lawrence Carin, Yannan Sun, Yunchen Pu, 2016, ArXiv.

Adaptive Feature Abstraction for Translating Video to Text

Zhe Gan, Lawrence Carin, Martin Renqiang Min, 2018, AAAI.

Multilevel fast-multipole algorithm for scattering from conducting targets above or embedded in a lossy half space

Lawrence Carin, Norbert Geng, Anders Sullivan, 2000, IEEE Trans. Geosci. Remote. Sens..

2009 ESTCP UXO Discrimination Study, San Luis Obispo, CA

Lawrence Carin, Nilanjan Dasgupta, Levi Kennedy, 2010 .

Learning Context-Aware Convolutional Filters for Text Processing

Yitong Li, Lawrence Carin, Martin Renqiang Min, 2018, EMNLP.

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

Guoyin Wang, Lawrence Carin, Martin Renqiang Min, 2018, ACL.

Distilled Wasserstein Learning for Word Embedding and Topic Modeling

Wei Liu, Lawrence Carin, Hongteng Xu, 2018, NeurIPS.

Deconvolutional Paragraph Representation Learning

Guoyin Wang, Zhe Gan, Lawrence Carin, 2017, NIPS.

The ATR Center and ATRpedia

Lawrence Carin, Randolph L. Moses, Timothy Ross, 2008, SPIE Defense + Commercial Sensing.

Policy Optimization as Wasserstein Gradient Flows

Lawrence Carin, Chunyuan Li, Changyou Chen, 2018, ICML.

Adaptation Across Extreme Variations using Unlabeled Bridges

Lawrence Carin, Yi-Hsuan Tsai, Manmohan Chandraker, 2020, BMVC.

Rate-distortion bound for joint compression and classification with application to multiaspect scattering

Lawrence Carin, Yanting Dong, Shaorong Chang, 2005 .

Time-reversal imaging for classification of submerged elastic targets via Gibbs sampling and the Relevance Vector Machine.

Lawrence Carin, Nilanjan Dasgupta, L. Carin, 2005, The Journal of the Acoustical Society of America.

ICA Feature Extraction and SVM Classification of FLIR Imagery

Lawrence Carin, 2005 .

Semi-Supervised Multitask Learning

Lawrence Carin, Xuejun Liao, Qiuhua Liu, 2007, NIPS.

Topic-Based Embeddings for Learning from Large Knowledge Graphs

Lawrence Carin, Piyush Rai, Changwei Hu, 2016, AISTATS.

Phenomenological modeling for FOPEN SAR: tree-trunk scattering on flat terrain and with concealed targets

Lawrence Carin, Jiangqi He, Norbert Geng, 1999, Defense, Security, and Sensing.

On Classification with Incomplete Data

Lawrence Carin, Balaji Krishnapuram, David Williams, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Compressive Hyperspectral Imaging With Side Information

Xin Yuan, Lawrence Carin, Patrick Llull, 2015, IEEE Journal of Selected Topics in Signal Processing.

Learning Graphons via Structured Gromov-Wasserstein Barycenters pdf

Hongyuan Zha, Lawrence Carin, Hongteng Xu, 2020, AAAI.

A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC

Lawrence Carin, Changyou Chen, Yizhe Zhang, 2018, Science China Information Sciences.

LMVP: Video Predictor with Leaked Motion Information pdf

Wei Cao, Liqun Chen, Lawrence Carin, 2019, ArXiv.

Class-based target classification in shallow water channel based on Hidden Markov Model

Hongwei Liu, Lawrence Carin, L. Carin, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Linear Feature Encoding for Reinforcement Learning

Lawrence Carin, Zhao Song, Xuejun Liao, 2016, NIPS.

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks

Lawrence Carin, Xuejun Liao, Qinliang Su, 2017, NIPS.

Ouroboros: On Accelerating Training of Transformer-Based Language Models

Lawrence Carin, Qian Yang, Heng Huang, 2019, NeurIPS.

On Norm-Agnostic Robustness of Adversarial Training pdf

Lawrence Carin, Changyou Chen, Wenlin Wang, 2019, ArXiv.

The contextual focused topic model

Xu Chen, Lawrence Carin, Mingyuan Zhou, 2012, KDD.

Continuous-Time Flows for Efficient Inference and Density Estimation

Lawrence Carin, Yunchen Pu, Chunyuan Li, 2017, ICML.

Variational Autoencoder for Deep Learning of Images, Labels and Captions

Zhe Gan, Xin Yuan, Lawrence Carin, 2016, NIPS.

Integration of Advanced Statistical Analysis Tools and Geophysical Modeling

Leonard R. Pasion, Douglas W. Oldenburg, Lawrence Carin, 2010 .

Wideband frequency- and time-domain EMI for mine detection

Lawrence Carin, Dean Keiswetter, I. J. Won, 1999, Defense, Security, and Sensing.

Multivariate time-series analysis and diffusion maps

Ronald R. Coifman, Lawrence Carin, Ronen Talmon, 2015, Signal Process..

Background adaptive faster R-CNN for semi-supervised convolutional object detection of threats in x-ray images

Lawrence Carin, John B. Sigman, Kevin J Liang, 2020, Defense + Commercial Sensing.

Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks

Lawrence Carin, David E. Carlson, Chunyuan Li, 2015, AAAI.

Factored Temporal Sigmoid Belief Networks for Sequence Learning pdf

Zhe Gan, Lawrence Carin, Jiaming Song, 2016, ICML.

Analysis of space-time relational data with application to legislative voting

David B. Dunson, Lawrence Carin, Esther Salazar, 2013, Comput. Stat. Data Anal..

Genetic Algorithm Wavelet Design for Signal Classification

Lawrence Carin, Eric Jones, Nilanjan Dasgupta, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Domain and range decomposition methods for coded aperture x-ray coherent scatter imaging

Lawrence Carin, David J. Brady, Joseph A. O'Sullivan, 2016, SPIE Defense + Security.

Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models pdf

Lawrence Carin, Chenyang Tao, Ricardo Henao, 2020, ArXiv.

Learning discriminative sparse models for source separation and mapping of hyperspectral imagery

Guillermo Sapiro, Lawrence Carin, John B. Greer, 2010 .

Test-size Reduction for Concept Estimation

Richard G. Baraniuk, Lawrence Carin, Divyanshu Vats, 2013, EDM.

HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images pdf

Lawrence Carin, Rachel Lea Draelos, L. Carin, 2020, ArXiv.

Off-Policy Reinforcement Learning with

Jonathan P. How, Girish Chowdhary, Thomas J. Walsh, 2014 .

Sticky Hidden Markov Modeling of Comparative

Lawrence Carin, Lan Du, Minhua Chen, 2010 .

Calibrating CNNs for Lifelong Learning

Lawrence Carin, Piyush Rai, Pratik Mazumder, 2020, NeurIPS.

Dictionary Learning for Hyperspectral Video Compressive Sensing

Lawrence Carin, 2012 .

On Connecting Stochastic Gradient MCMC and Differential Privacy

Lawrence Carin, Bai Li, Changyou Chen, 2017, AISTATS.

Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling

David B. Dunson, Lawrence Carin, Mingyuan Zhou, 2013, IEEE Transactions on Biomedical Engineering.

Multitask Compressive Sensing

David B. Dunson, Lawrence Carin, Shihao Ji, 2009, IEEE Transactions on Signal Processing.

FLIR Image Classification Using Hidden Markov Trees, with Comparisons to More-Traditional Algorithms

Lawrence Carin, 2002 .

Improved decision-theoretic approach to the optimum detection of mines

Lawrence Carin, Leslie M. Collins, Loren W. Nolte, 1997, Defense, Security, and Sensing.

Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization

Lawrence Carin, Zhao Song, David E. Carlson, 2016, AISTATS.

Hidden Markov Model を用いたレーダ信号の系列情報処理法とそのターゲット識別への応用

Lawrence Carin, 西本昌彦, 2003 .

Learning Classifiers on a Partially Labeled Data Manifold

Lawrence Carin, Xuejun Liao, Qiuhua Liu, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Rapid Prolate Pseudospectral Differentiation and Interpolation with the Fast Multipole Method

Wenbin Lin, Lawrence Carin, Narayan Kovvali, 2006, SIAM J. Sci. Comput..

Latent Gaussian Models for Topic Modeling

Yingjian Wang, Lawrence Carin, David E. Carlson, 2014, AISTATS.

Bayesian topic models for describing computer network behaviors

Lawrence Carin, Christopher Cramer, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information pdf

Zhe Gan, Lawrence Carin, Jiachang Liu, 2020, ICML.

Pseudospectral method based on prolate spheroidal wave functions for semiconductor nanodevice simulation

Wenbin Lin, Lawrence Carin, Narayan Kovvali, 2006, Computer Physics Communications.

Adversarial Time-to-Event Modeling

Lawrence Carin, Chenyang Tao, Chunyuan Li, 2018, ICML.

Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements

Ronald R. Coifman, Lawrence Carin, Badrinath Roysam, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Standoff Sensing of Electronic Systems

Lawrence Carin, 2011 .

Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes pdf

Lawrence Carin, Hongteng Xu, Dixin Luo, 2019, ArXiv.

On Leveraging Pretrained GANs for Limited-Data Generation pdf

Lawrence Carin, Yulai Cong, Miaoyun Zhao, 2020, ICML 2020.

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks pdf

Zhe Gan, Lawrence Carin, Xiaodong He, 2016, ArXiv.

Scalable Thompson Sampling via Optimal Transport

Lawrence Carin, Changyou Chen, Zheng Wen, 2019, AISTATS.

The dynamic hierarchical Dirichlet process

David B. Dunson, Lu Ren, Lawrence Carin, 2008, ICML '08.

Detection of Viruses Via Statistical Gene Expression Analysis

Alfred O. Hero, Lawrence Carin, David E. Carlson, 2011, IEEE Transactions on Biomedical Engineering.

Communications-Inspired Projection Design with Application to Compressive Sensing pdf

A. Robert Calderbank, Miguel R. D. Rodrigues, Lawrence Carin, 2012, SIAM J. Imaging Sci..

Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images

David B. Dunson, Guillermo Sapiro, Lu Ren, 2012, IEEE Transactions on Image Processing.

Random Neural Network Recognition of Shaped Objects in Strong Clutter

Erol Gelenbe, Lawrence Carin, Hakan Bakircioglu, 1997, ICANN.

Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view

A. Robert Calderbank, Miguel R. D. Rodrigues, Lawrence Carin, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Variational Bayes for continuous hidden Markov models and its application to active learning

Lawrence Carin, Balaji Krishnapuram, Shihao Ji, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

B-2-7 Hidden Markov Model を用いたターゲット識別のためのレーダ応答系列の処理法

Lawrence Carin, Xuejun Liao, 西本昌彦, 2003 .

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets

Guoyin Wang, Zhe Gan, Lawrence Carin, 2018, ICML.

Stochastic Gradient MCMC with Stale Gradients

Lawrence Carin, Nan Ding, Chunyuan Li, 2016, NIPS.

Constrained Independent Component Analysis of DNA Microarray Signals

Lawrence Carin, Xuejun Liao, L. Carin, 2004 .

Nonparametric Bayesian feature selection for multi-task learning

Hui Li, Lawrence Carin, Xuejun Liao, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012

Lawrence Carin, Mingyuan Zhou, 2012, NIPS 2012.

Adaptive Multimodality Sensing of Landmines

Waymond R. Scott, Lawrence Carin, Shihao Ji, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Infrared-image classification using support vector machines

Lawrence Carin, Shaorong Chang, Nasser Nasrabadi, 2002, ICASSP.

Wideband frequency response of low-metal mines

Yacine Dalichaouch, Brian W. Whitecotton, Lawrence Carin, 2004, SPIE Defense + Commercial Sensing.

Three-Dimensional Bayesian Inversion With Application to Subsurface Sensing

Yijun Yu, Lawrence Carin, L. Carin, 2007, IEEE Transactions on Geoscience and Remote Sensing.

A Multitask Point Process Predictive Model

Vinayak A. Rao, Lawrence Carin, Wenzhao Lian, 2015, ICML.

Inference of gene networks associated with the host response to infectious disease

Zhe Gan, Xin Yuan, Lawrence Carin, 2016, Big Data over Networks.

Incomplete-data classification using logistic regression

Lawrence Carin, David Williams, Ya Xue, 2005, ICML.

Learning Generic Sentence Representations Using Convolutional Neural Networks

Zhe Gan, Lawrence Carin, Xiaodong He, 2016, EMNLP.

On the relations of LFPs & Neural Spike Trains

Lawrence Carin, David E. Carlson, Jana Schaich Borg, 2014, NIPS.

Deep Poisson Factor Modeling

Zhe Gan, Lawrence Carin, James Lu, 2015, NIPS.

Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization pdf

Lawrence Carin, Franccois-Xavier Briol, Andrew B. Duncan, 2020, ArXiv.

Multi-Sensor Physics-Based Classification of Unexploded Ordnance

Lawrence Carin, 2005 .

Rate-Distortion Analysis of Discrete-HMM Pose Estimation via Multiaspect Scattering Data

Lawrence Carin, Yanting Dong, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure

Ronald R. Coifman, Lawrence Carin, Badrinath Roysam, 2014, Neuroinformatics.

Analysis of wideband forward looking synthetic aperture radar for sensing land mines

Lawrence Carin, Narayan Kovvali, 2004 .

On Fenchel Mini-Max Learning

Jianfeng Feng, Dong Wang, Liqun Chen, 2019, NeurIPS.

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Xiaodong Liu, Jianfeng Gao, Lawrence Carin, 2019, NAACL.

Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models pdf

Guillermo Sapiro, Lawrence Carin, Guoshen Yu, 2011, ArXiv.

Infrared-image classification using expansion matching filters and hidden Markov trees

Lawrence Carin, Paul Runkle, Priya Bharadwaj, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Exploring the Mind: Integrating Questionnaires and fMRI

Lawrence Carin, Ahmad Hariri, Esther Salazar, 2013, ICML.

Comparison of model-based results with measured data for metal buried mines

Lawrence Carin, Barbara L. Merchant, Ravinder Kapoor, 1998, Defense, Security, and Sensing.

A nonparametric Bayesian model for kernel matrix completion

Lawrence Carin, John W. Paisley, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Physics-model-based unexploded ordnance discrimination using wideband EMI data

Lawrence Carin, Leslie M. Collins, Yan Zhang, 2003, SPIE Defense + Commercial Sensing.

Triangle Generative Adversarial Networks

Zhe Gan, Lawrence Carin, Liqun Chen, 2017, NIPS.

An improved Bayesian decision theoretic approach for land mine detection

Leslie M. Collins, Lawrence Carin, Ping Gao, 1999, IEEE Trans. Geosci. Remote. Sens..

Designed Measurements for Vector Count Data

A. Robert Calderbank, Miguel R. D. Rodrigues, Liming Wang, 2013, NIPS.

Synthetic Aperture Radar for Mine Detection and Identification.

Lawrence Carin, 1999 .

Multi-task learning for underwater object classification

Lawrence Carin, J. R. Stack, R. J. McDonald, 2007, SPIE Defense + Commercial Sensing.

Learning Autoencoders with Relational Regularization pdf

Lawrence Carin, Hongteng Xu, Dixin Luo, 2020, ICML.

Signal processing for NQR discrimination of buried land mines

Lawrence Carin, Leslie M. Collins, Stacy L. Tantum, 1999, Defense, Security, and Sensing.

Earliness-Aware Deep Convolutional Networks for Early Time Series Classification pdf

Lawrence Carin, Piyush Rai, Wenqi Wang, 2016, ArXiv.

Alternating minimization algorithm with iteratively reweighted quadratic penalties for compressive transmission tomography

Joseph A. O'Sullivan, Lawrence Carin, David J. Brady, 2015, Medical Imaging.

Adversarial Feature Matching for Text Generation

Zhi Chen, Zhe Gan, Kai Fan, 2017, ICML.

Discriminative sparse representations in hyperspectral imagery

Guillermo Sapiro, Lawrence Carin, John B. Greer, 2010, 2010 IEEE International Conference on Image Processing.

Adaptation Across Extreme Variations using Unlabeled Domain Bridges pdf

Lawrence Carin, Yi-Hsuan Tsai, Kihyuk Sohn, 2019, ArXiv.

An Investigation of Using the Spectral Characteristics From Ground Penetrating Radar for Landmine/Clutter Discrimination

Joseph N. Wilson, Paul D. Gader, K. C. Ho, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Identification of ground targets from sequential HRR radar signatures

Lawrence Carin, Yan Jiao, Xuejun Liao, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Improving Adversarial Text Generation by Modeling the Distant Future

Zhe Gan, Lawrence Carin, Dinghan Shen, 2020, ACL.

Stein Variational Autoencoder pdf

Zhe Gan, Lawrence Carin, Yunchen Pu, 2017, ArXiv.

Tree-Structured Compressive Sensing With Variational Bayesian Analysis

Lawrence Carin, Haojun Chen, Lihan He, 2010, IEEE Signal Processing Letters.

Improving Text Generation with Student-Forcing Optimal Transport pdf

Liqun Chen, Lawrence Carin, Qian Yang, 2020, EMNLP.

Straight-Through Estimator as Projected Wasserstein Gradient Flow pdf

Chang Liu, Lawrence Carin, Dinghan Shen, 2019, ArXiv.

Dirichlet Process HMM Mixture Models with Application to Music Analysis

Lawrence Carin, Yuting Qi, John William Paisley, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Duke Workshop on High-Dimensional Data Sensing and Analysis

Lawrence Carin, 2015 .

An Optimal Transport Framework for Zero-Shot Learning pdf

Guoyin Wang, Lawrence Carin, Hongteng Xu, 2019, ArXiv.

Continuing progress of spike sorting in the era of big data

Lawrence Carin, David Carlson, L. Carin, 2019, Current Opinion in Neurobiology.

Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning

Lawrence Carin, Lei Zhang, Guoyin Wang, 2020, FINDINGS.

Dynamic Poisson Factor Analysis

Yue Zhao, Lawrence Carin, Ricardo Henao, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Cross-Domain Multitask Learning with Latent Probit Models

Lawrence Carin, Xuejun Liao, Shaobo Han, 2012, ICML.

Multi-Task Learning for Classification with Dirichlet Process Priors

Lawrence Carin, Balaji Krishnapuram, Ya Xue, 2007, J. Mach. Learn. Res..

Variational Inference for Stick-Breaking Beta Process Priors

Lawrence Carin, David M. Blei, John W. Paisley, 2011, ICML.

Time-domain sensing of targets buried under a Gaussian, exponential, or fractal rough interface

Lawrence Carin, Traian Dogaru, 2001, IEEE Trans. Geosci. Remote. Sens..

Negative Binomial Process Count and Mixture Modeling

Lawrence Carin, Mingyuan Zhou, L. Carin, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Rate-Distortion Analysis of Pose Estimation via Multi-Aspect Scattering Data

Lawrence Carin, Yanting Dong, 2001 .

Multi-aspect target classification using hidden Markov models for data fusion

Lam H. Nguyen, Lawrence Carin, P. Runkle, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

Deep Learning with Hierarchical Convolutional Factor Analysis

David B. Dunson, Guillermo Sapiro, Bo Chen, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Isolation effects in single- and dual-plane VLSI interconnects

Lawrence Carin, Kevin J. Webb, L. Carin, 1990 .

Demonstration and Validation of Statistical Analysis Techniques for TOI Discrimination Using Advanced EMI Sensor Systems

Lawrence Carin, Levi Kennedy, Xianyang Zhu, 2012 .

Learning a Hybrid Architecture for Sequence Regression and Annotation

Lawrence Carin, Alexander J. Hartemink, Ricardo Henao, 2015, AAAI.

Generative Deep Deconvolutional Learning

Xin Yuan, Lawrence Carin, Yunchen Pu, 2014 .

Learning to Sample with Adversarially Learned Likelihood-Ratio

Guoyin Wang, Lawrence Carin, Chunyuan Li, 2018 .

Fused Gromov-Wasserstein Alignment for Hawkes Processes pdf

Lawrence Carin, Hongteng Xu, Dixin Luo, 2019, ArXiv.

Multi-aspect target detection for SAR imagery using hidden Markov models and two-dimensional matching pursuits

Lam H. Nguyen, Lawrence Carin, P. Runkle, 2000, SPIE Defense + Commercial Sensing.

Electromagnetic simulation environment

Lawrence Carin, Balaji Krishnapuram, John A. Board, 2001, SPIE Defense + Commercial Sensing.

Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning

Lawrence Carin, Xuejun Liao, Qiuhua Liu, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms pdf

Lawrence Carin, Hongteng Xu, Dixin Luo, 2019, ArXiv.

APo-VAE: Text Generation in Hyperbolic Space pdf

Zhe Gan, Lawrence Carin, Chenyang Tao, 2020, ArXiv.

Gaussian-Process-Based Dynamic Embedding for Textual Networks pdf

Lawrence Carin, Yitong Li, Liqun Cheng, 2019, ArXiv.

Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process.

Lawrence Carin, Mingtao Ding, David Dunson, 2012, Bayesian analysis.

Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods pdf

Guoyin Wang, Lawrence Carin, Ricardo Henao, 2019, NeurIPS.

The Use of SIG Algorithms in Sea Tests

Lawrence Carin, Patrick Rabenold, 2007 .

Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations

Lawrence Carin, John McManigle, Raquel Bartz, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images pdf

Lawrence Carin, Ricardo Henao, Jonathan Cohen, 2019, ArXiv.

A Deep Generative Deconvolutional Image Model pdf

Xin Yuan, Lawrence Carin, Yunchen Pu, 2016, AISTATS.

Multi-aspect target detection for SAR imagery using hidden Markov models

James H. McClellan, Lam H. Nguyen, Lawrence Carin, 2001, IEEE Trans. Geosci. Remote. Sens..

Time-reversal imaging of distant targets in shallow water channel

Lawrence Carin, L. Couchman, L. Carin, 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

Hongyuan Zha, Lawrence Carin, Yi Zhen, 2015, AAAI.

Hierarchical Infinite Divisibility for Multiscale Shrinkage

Vinayak A. Rao, Xin Yuan, Lawrence Carin, 2014, IEEE Transactions on Signal Processing.

Hidden Markov models for multiaspect target classification

Lawrence Carin, Luise Couchman, L. Carin, 1999, IEEE Trans. Signal Process..

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models

Lawrence Carin, Changyou Chen, Xuejun Liao, 2016, ICML.

Multilevel fast multipole method for large-surface and subsurface targets

Lawrence Carin, Norbert Geng, Anders Sullivan, 2000, Defense, Security, and Sensing.

GO Gradient for Expectation-Based Objectives pdf

Lawrence Carin, Ke Bai, Yulai Cong, 2019, ICLR.

Analysis of the electromagnetic inductive response of a void in a conducting-soil background

Lawrence Carin, Tiejun Yu, 2000, IEEE Trans. Geosci. Remote. Sens..

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes

Lawrence Carin, Maciej A. Mazurowski, Joseph Y. Lo, 2020, Medical Image Anal..

RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure pdf

Lawrence Carin, Shounak Datta, Eduardo B. Mariottoni, 2020, Scientific reports.

Context-based graphical modeling for wavelet domain signal processing

Lawrence Carin, Nilanjan Dasgupta, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Towards Practical Lottery Ticket Hypothesis for Adversarial Training pdf

Suman Jana, Lawrence Carin, Shiqi Wang, 2020, ArXiv.

Variational Inference and Model Selection with Generalized Evidence Bounds

Lawrence Carin, Chenyang Tao, Liqun Chen, 2018, ICML.

A Bayesian approach to joint feature selection and classifier design

Lawrence Carin, Mário A. T. Figueiredo, Balaji Krishnapuram, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Classification and reconstruction of compressed GMM signals with side information

A. Robert Calderbank, Galen Reeves, Xin Yuan, 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

Methods for Numeracy-Preserving Word Embeddings

Lawrence Carin, Guoyin Wang, Devamanyu Hazarika, 2020, EMNLP.

Adversarial Text Generation via Feature-Mover's Distance

Zhe Gan, Liqun Chen, Lawrence Carin, 2018, NeurIPS.

Variational Annealing of GANs: A Langevin Perspective

Chang Liu, Lawrence Carin, Chenyang Tao, 2019, ICML.

On the Integration of Topic Modeling and Dictionary Learning

Guillermo Sapiro, Lawrence Carin, Mingyuan Zhou, 2011, ICML.

Dirichlet process mixture models with multiple modalities

Lawrence Carin, John W. Paisley, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Wideband EMI Modeling for Buried Unexploded Ordnance

Lawrence Carin, 1999 .

Bridging Maximum Likelihood and Adversarial Learning via α-Divergence pdf

Lawrence Carin, Yulai Cong, Miaoyun Zhao, 2020, AAAI.

Scalable multilevel fast multipole method for multiple targets in the vicinity of a half space

Ling Li, Xiaolong Dong, Lawrence Carin, 2003, IEEE Trans. Geosci. Remote. Sens..

Learning Compressed Sentence Representations for On-Device Text Processing

Qian Yang, Lawrence Carin, Dinghan Shen, 2019, ACL.

Wideband Array Imaging of a Target Situated in an Unknown Random Media

Lawrence Carin, Dehong Liu, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Anomaly detection for medical images based on a one-class classification

Joseph Y. Lo, Lawrence Carin, Rui Hou, 2018, Medical Imaging.

Hierarchical Optimal Transport for Robust Multi-View Learning pdf

Lawrence Carin, Hongteng Xu, Dixin Luo, 2020, ArXiv.

Wide-band VHF scattering from a trihedral reflector situated above a lossy dispersive halfspace

Lawrence Carin, Norbert Geng, Marc A. Ressler, 1999, IEEE Trans. Geosci. Remote. Sens..

Dictionary Learning for Noisy and Incomplete Hyperspectral Images

Guillermo Sapiro, Lawrence Carin, Mingyuan Zhou, 2012, SIAM J. Imaging Sci..

Learning Registered Point Processes from Idiosyncratic Observations

Hongyuan Zha, Lawrence Carin, Hongteng Xu, 2017, ICML.

Faster On-Device Training Using New Federated Momentum Algorithm pdf

Lawrence Carin, Qian Yang, Heng Huang, 2020, ArXiv.

Nonparametric image interpolation and dictionary learning using spatially-dependent Dirichlet and beta process priors

Guillermo Sapiro, Lawrence Carin, Mingyuan Zhou, 2010, 2010 IEEE International Conference on Image Processing.

Ultra-Wideband, Short-Pulse Electromagnetics

Lawrence Carin, Henry L. Bertoni, Leopold B. Felsen, 2011 .

Short-pulse electromagnetics for sensing applications

Lawrence Carin, Henry L. Bertoni, Leopold B. Felsen, 1991, Defense, Security, and Sensing.

Multi-Aspect Target Classification and Detection via the Infinite Hidden Markov Model

Lawrence Carin, Kai Ni, Yuting Qi, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Semantic Compositional Networks for Visual Captioning

Zhe Gan, Jianfeng Gao, Li Deng, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Active learning for large-scale factor analysis

Lawrence Carin, Jorge G. Silva, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation pdf

Yu Cheng, Zhe Gan, Lawrence Carin, 2019, ArXiv.

Sticky Hidden Markov Modeling of Comparative Genomic Hybridization

Lawrence Carin, Lan Du, Joseph E. Lucas, 2010, IEEE Transactions on Signal Processing.

Video Compressive Sensing Using Gaussian Mixture Models

Guillermo Sapiro, Xin Yuan, Lawrence Carin, 2014, IEEE Transactions on Image Processing.

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling pdf

Zhe Gan, Lawrence Carin, Yunchen Pu, 2016, ACL.

Reinforcement Learning for Flexibility Design Problems pdf

Hao Zhang, Lawrence Carin, Lei Zhang, 2021, ArXiv.

Relevance vector machine feature selection and classification for underwater targets

Lawrence Carin, G. J. Dobeck, 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage pdf

Guoyin Wang, Lawrence Carin, Ricardo Henao, 2020, MLHC.

Unsupervised Learning with Truncated Gaussian Graphical Models pdf

Zhe Gan, Lawrence Carin, Chunyuan Li, 2016, AAAI.

Time-domain sensing of targets buried under a general rough air-ground interface

Lawrence Carin, Traian Dogaru, L. Carin, 1998, Defense, Security, and Sensing.

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

Hongyuan Zha, Lawrence Carin, Hongteng Xu, 2019, ICML.

Communications Inspired Linear Discriminant Analysis

A. Robert Calderbank, Miguel R. D. Rodrigues, Lawrence Carin, 2012, ICML.

Cybersecurity Strategies: The QuERIES Methodology

Lawrence Carin, George Cybenko, Jeff Hughes, 2008, Computer.

Video Generation From Text

Yitong Li, Lawrence Carin, Martin Renqiang Min, 2017, AAAI.

A focus on graphical model design and applications to document and image analysis )

David B. Dunson, Lawrence Carin, David M. Blei, 2010 .

Mode conversion and leaky-wave excitation at open-end coupled microstrip discontinuities

Lawrence Carin, J. L. Cina, 1995, IMS 1995.

RCS models and analysis of metallic mines

Lawrence Carin, Serpil Ayasli, Barbara L. Merchant, 1997, Defense, Security, and Sensing.

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification

Zhe Gan, Lawrence Carin, Yunchen Pu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Generalized Bregman divergence and gradient of mutual information for vector Poisson channels

Miguel R. D. Rodrigues, Liming Wang, Lawrence Carin, 2013, 2013 IEEE International Symposium on Information Theory.

Adaptive multi-aspect target classification and detection with hidden Markov models

Lawrence Carin, Shihao Ji, Xuejun Liao, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Patient Clustering with Uncoded Text in Electronic Medical Records

Lawrence Carin, Joseph E. Lucas, Ricardo Henao, 2013, AMIA.

High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections

Alfred O. Hero, David B. Dunson, Lawrence Carin, 2012, IEEE Signal Processing Magazine.

Classification of buried metal objects using wideband frequency-domain electromagnetic induction responses: a comparison of optimal and sub-optimal processors

Lawrence Carin, Leslie M. Collins, Ping Gao, 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

Active learning for online bayesian matrix factorization

Lawrence Carin, Jorge G. Silva, L. Carin, 2012, KDD.

Coded Hyperspectral Imaging and Blind Compressive Sensing

Lawrence Carin, David J. Brady, Ajit Rajwade, 2013, SIAM J. Imaging Sci..

Non-parametric Bayesian modeling and fusion of spatio-temporal information sources

Lawrence Carin, Priyadip Ray, L. Carin, 2011, 14th International Conference on Information Fusion.

Augment-and-Conquer Negative Binomial Processes

Lawrence Carin, Mingyuan Zhou, L. Carin, 2012, NIPS.

Probabilistic topic models

David B. Dunson, Lawrence Carin, David M. Blei, 2011, KDD '11 Tutorials.

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors

David B. Dunson, Yingjian Wang, Lawrence Carin, 2014, ICML.

Estimating Total Correlation with Mutual Information Bounds pdf

Lawrence Carin, Weituo Hao, Pengyu Cheng, 2020, ArXiv.

Covariate-dependent dictionary learning and sparse coding

David B. Dunson, Guillermo Sapiro, Hongxia Yang, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Survival Function Matching for Calibrated Time-to-Event Predictions pdf

Lawrence Carin, Chenyang Tao, Ricardo Henao, 2019, ArXiv.

Multi-shot Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement

Haichao Zhang, Lawrence Carin, L. Carin, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Lognormal and Gamma Mixed Negative Binomial Regression

David B. Dunson, Lawrence Carin, Mingyuan Zhou, 2012, ICML.

On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators

Lawrence Carin, Nan Ding, Changyou Chen, 2015, NIPS.

Optimal Sensor Management for Next-Generation EMI Systems

Hui Li, Lawrence Carin, Nilanjan Dasgupta, 2008 .

MixKD: Towards Efficient Distillation of Large-scale Language Models pdf

Lawrence Carin, Dinghan Shen, Changyou Chen, 2020, ArXiv.

Stochastic Spectral Descent for Discrete Graphical Models

Volkan Cevher, Lawrence Carin, David E. Carlson, 2016, IEEE Journal of Selected Topics in Signal Processing.

Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data

Lawrence Carin, Balaji Krishnapuram, Alexander J. Hartemink, 2004, J. Comput. Biol..

Multi-task Reinforcement Learning in Partially Observable Stochastic Environments

Hui Li, Lawrence Carin, Xuejun Liao, 2009, J. Mach. Learn. Res..

UXO Discrimination Study Pole Mountain Target and Maneuver Area, WY

Lawrence Carin, Levi Kennedy, Xianyang Zhu, 2012 .

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning

Hao Zhang, Eric P. Xing, Lawrence Carin, 2020, NeurIPS.

Improved Detection Performance Using a Bayesian Decision‐Theoretic Approach

Leslie M. Collins, Lawrence Carin, I. J. Won, 1998 .

Modal transition phenomena in shielded microstrip with anisotropic substrates

Lawrence Carin, Kevin J. Webb, G. W. Slade, 1990, IEEE International Digest on Microwave Symposium.

Multi-Task Compressive Sensing

David B. Dunson, Lawrence Carin, Shihao Ji, 2007 .

Semisupervised Multitask Learning

Hui Li, Lawrence Carin, Xuejun Liao, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stochastic Spectral Descent for Restricted Boltzmann Machines

Volkan Cevher, Lawrence Carin, David E. Carlson, 2015, AISTATS.

Polarimetric SAR imaging of buried landmines

Carl E. Baum, Lawrence Carin, Ravinder Kapoor, 1998, IEEE Trans. Geosci. Remote. Sens..

Semi-Supervised Classification

Lawrence Carin, Mário A. T. Figueiredo, Balaji Krishnapuram, 2004, Encyclopedia of Database Systems.

Quantitative Evaluation of Risk for Investment Ecient Strategies in Cybersecurity: The QuERIES Methodology

Lawrence Carin, George Cybenko, L. Carin, 2007 .

Laplacian Hamiltonian Monte Carlo

Lawrence Carin, Changyou Chen, Ricardo Henao, 2016, ECML/PKDD.

Applications of Synthetic Aperture Radar (SAR) to UXO Delineation

Lawrence Carin, Serpil Ayasli, Janet Simms, 2004 .

Rigorous electromagnetic modeling of targets concealed in tree foliage

Lawrence Carin, Norbert Geng, Anders J. Sullivan, 2000, Defense, Security, and Sensing.

Kernel-Matching Pursuits With Arbitrary Loss Functions

Lawrence Carin, Gerald J. Dobeck, Xuejun Liao, 2009, IEEE Transactions on Neural Networks.

Electromagnetic scattering and detection of mines near a rough air-ground interface

Lawrence Carin, Barbara L. Merchant, Traian Dogaru, 1997, Defense, Security, and Sensing.

A Stick-Breaking Construction of the Beta Process

Lawrence Carin, John W. Paisley, Geoffrey S. Ginsburg, 2010, ICML.

Adaptive Feature Abstraction for Translating Video to Language pdf

Zhe Gan, Lawrence Carin, Martin Renqiang Min, 2017, ICLR.

Information-Theoretic Compressive Measurement Design

A. Robert Calderbank, Miguel R. D. Rodrigues, Liming Wang, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Low-Cost Compressive Sensing for Color Video and Depth

Guillermo Sapiro, Lawrence Carin, Patrick Llull, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Compressive Sensing by Learning a Gaussian Mixture Model From Measurements

Guillermo Sapiro, Xin Yuan, Lawrence Carin, 2015, IEEE Transactions on Image Processing.

Modeling temporal and spatial data dependence with bayesian nonparametrics

Lu Ren, Lawrence Carin, L. Carin, 2010 .

Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models

Lawrence Carin, Balaji Krishnapuram, L. Carin, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Electronic Health Record Analysis via Deep Poisson Factor Models

Lawrence Carin, James Lu, Joseph E. Lucas, 2016, J. Mach. Learn. Res..

Subbanding of temporal and spatial UWB SAR imagery of buried mines

Lawrence Carin, David C. Wong, 1998, Defense, Security, and Sensing.

Improving Sequence-to-Sequence Learning via Optimal Transport pdf

Zhe Gan, Haichao Zhang, Liqun Chen, 2019, ICLR.

Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information

Lawrence Carin, Piyush Rai, Changwei Hu, 2016, AISTATS.

Foreword

Lawrence Carin, 2001, IEEE Trans. Geosci. Remote. Sens..

Zero-Shot Recognition via Optimal Transport

Lawrence Carin, Hongteng Xu, Guoyin Wang, 2019 .

Army Research Laboratory ultrawide-band testbed radar and comparisons of target data with models

Lawrence Carin, Marc A. Ressler, Matthew Bennett, 1995, Defense, Security, and Sensing.

Signal adaptive wavelet design using genetic algorithms

Lawrence Carin, Nilanjan Dasgupta, P. Runkle, 2000, SPIE Defense + Commercial Sensing.

Multi-task classification with infinite local experts

David B. Dunson, Lawrence Carin, Qi An, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Scalable Deep Poisson Factor Analysis for Topic Modeling

Zhe Gan, Lawrence Carin, David E. Carlson, 2015, ICML.

Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements

A. Robert Calderbank, Miguel R. D. Rodrigues, Lawrence Carin, 2013, IEEE Transactions on Signal Processing.

Online Bayesian dictionary learning for large datasets

Lawrence Carin, Mingyuan Zhou, Jorge G. Silva, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Guiding Principles for the Duke Connected Care Predictive Modeling Pilot

Michael Gao, Lawrence Carin, Ricardo Henao, 2017, AMIA.

Multiresolution signature-based SAR target detection

Lawrence Carin, Priya Bharadwaj, Mark McClure, 1998, Defense, Security, and Sensing.

Multiaspect identification of submerged elastic targets via wave-based matching pursuits and hidden

Lawrence Carin, Joseph A. Bucaro, Luise S. Couchman, 1999 .

Bayesian optimal classification of metallic objects: a comparison of time-domain and frequency-domain EMI performance

Lawrence Carin, Leslie M. Collins, Ping Gao, 2000, Defense, Security, and Sensing.

Adversarial Learning of a Sampler Based on an Unnormalized Distribution

Guoyin Wang, Lawrence Carin, Ke Bai, 2019, AISTATS.

Cybersecurity The QuERIES Methodology

Lawrence Carin, George Cybenko, Jeff Hughes, 2008 .

Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data

Lawrence Carin, Zhengming Xing, Sunshine Hillygus, 2017, KDD.

Physics-based detection of targets in SAR imagery using support vector machines

Lawrence Carin, Balaji Krishnapuram, J. Sichina, 2003 .

Object Detection as a Positive-Unlabeled Problem pdf

Lawrence Carin, Kevin J Liang, Yuewei Yang, 2020, BMVC.

Classification and data acquisition with incomplete data

David P. Williams, Lawrence Carin, L. Carin, 2006 .

Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents

Lawrence Carin, John W. Paisley, Lu Ren, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets

Lawrence Carin, Gregory Spell, Sunshine Hillygus, 2020, EMNLP.

Dual hidden Markov model characterization of wavelet coefficients from multiaspect scattering data

Lawrence Carin, Nilanjan Dasgupta, P. Runkle, 2000, Defense, Security, and Sensing.

Image technique for multiresolution time-domain using nonsymmetric basis functions

Wenbin Lin, Lawrence Carin, Narayan Kovvali, 2005 .

The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning

David B. Dunson, Guillermo Sapiro, Lawrence Carin, 2011, ICML.

Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data

Lawrence Carin, Wenzhao Lian, Piyush Rai, 2015, AAAI.

Rate-distortion bound for joint compression and classification with application to multiaspect scattering

Lawrence Carin, Yanting Dong, L. Carin, 2003, IEEE Sensors Journal.

Direct algorithm for computation of derivatives of the Daubechies basis functions

Wenbin Lin, Lawrence Carin, Narayan Kovvali, 2005, Applied Mathematics and Computation.

Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration

Xinyuan Zhang, Xin Yuan, Lawrence Carin, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Detection of above-ground and subsurface unexploded ordnance using ultrawideband (UWB) synthetic aperture radar (SAR) and electromagnetic modeling tools

Lawrence Carin, Norbert Geng, Yanting Dong, 2000, Defense, Security, and Sensing.

Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world

Stephen Lin, Qionghai Dai, Xin Yuan, 2016, IEEE Signal Processing Magazine.

Parallel implementation of the biorthogonal multiresolution time-domain method.

Lawrence Carin, Traian Dogaru, Xianyang Zhu, 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

Active Feature Acquisition with POMDP Models

Hui Li, Lawrence Carin, Xuejun Liao, 2006 .

Rigorous modeling of ultrawideband VHF scattering from tree trunks over flat and. sloped terrain

Lam H. Nguyen, Lawrence Carin, Jiangqi He, 2001, IEEE Trans. Geosci. Remote. Sens..

Deep Metric Learning with Data Summarization

Wenlin Chen, Lawrence Carin, Piyush Rai, 2016, ECML/PKDD.

Quantization of multiaspect scattering data: target classification and pose estimation

Lawrence Carin, Yanting Dong, 2003, IEEE Trans. Signal Process..

Incremental Least Squares Policy Iteration for POMDPs

Hui Li, Lawrence Carin, Xuejun Liao, 2006, AAAI.

Nested-Wasserstein Self-Imitation Learning for Sequence Generation pdf

Zhe Gan, Lawrence Carin, Changyou Chen, 2020, AISTATS.

( A review of a broad set of sparse models, analysis tools, and recovery algorithms within the graphical models formalism )

Piotr Indyk, Richard G. Baraniuk, Lawrence Carin, 2010 .

BEAM-TRACING-BASED INVERSE SCATTERING FOR GENERAL APERTURE ANTENNAS

Lawrence Carin, Bimba Rao, L. Carin, 1999 .

WAFFLe: Weight Anonymized Factorization for Federated Learning pdf

Lawrence Carin, Mostafa El-Khamy, Nikhil Mehta, 2020, IEEE Access.

Three-dimensional inverse scattering of a dielectric target embedded in a lossy half-space

Yijun Yu, Lawrence Carin, Tiejun Yu, 2004, IEEE Transactions on Geoscience and Remote Sensing.

Stochastic Gradient Monomial Gamma Sampler

Zhe Gan, Lawrence Carin, Changyou Chen, 2017, ICML.

Estimation of the CSA‐ODF using Bayesian compressed sensing of multi‐shell HARDI

Steen Moeller, Essa Yacoub, Christophe Lenglet, 2014, Magnetic resonance in medicine.

Nonlinear Information-Theoretic Compressive Measurement Design

A. Robert Calderbank, Miguel R. D. Rodrigues, Liming Wang, 2014, ICML.

Semantic Matching via Optimal Partial Transport

Lawrence Carin, Changyou Chen, Ruiyi Zhang, 2020, EMNLP.

Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012

Lawrence Carin, Lingbo Li, Mingyuan Zhou, 2012, UAI 2012.

Compressive Sensing via Convolutional Factor Analysis pdf

Xin Yuan, Lawrence Carin, Yunchen Pu, 2017, ArXiv.

Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning

Guoyin Wang, Liqun Chen, Lawrence Carin, 2020, AAAI.

Inferring Latent Structure From Mixed Real and Categorical Relational Data

Lawrence Carin, Esther Salazar, L. Carin, 2012, ICML.

Active selection of labeled data for target detection

Lawrence Carin, Yan Zhang, Xuejun Liao, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Vinayak A. Rao, Lawrence Carin, Wenzhao Lian, 2014, ICML.

Learning Context-Sensitive Convolutional Filters for Text Processing

Lawrence Carin, Martin Renqiang Min, Dinghan Shen, 2017 .

Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling

Xin Yuan, Lawrence Carin, Ricardo Henao, 2014, NIPS.

On the Analysis of Multi-Channel Neural Spike Data

Bo Chen, Lawrence Carin, David E. Carlson, 2011, NIPS.

Harbor Threat Detection, Classification, and Identification

Brian H. Houston, Lawrence Carin, 2007 .

Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population

Michael Gao, Lawrence Carin, Ricardo Henao, 2017, AMIA.

Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data

Lawrence Carin, David Williams, Xuejun Liao, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Adaptive Convolutional Filter Generation for Natural Language Understanding pdf

Lawrence Carin, Martin Renqiang Min, Dinghan Shen, 2017, ArXiv.

Real-Time Inference for a Gamma Process Model of Neural Spiking

Vinayak A. Rao, Lawrence Carin, Joshua T. Vogelstein, 2013, NIPS.

Joint Modeling of a Matrix with Associated Text via Latent Binary Features

Lawrence Carin, XianXing Zhang, L. Carin, 2012, NIPS.

Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond pdf

A. Robert Calderbank, Miguel R. D. Rodrigues, Lawrence Carin, 2013, ArXiv.

Deep Temporal Sigmoid Belief Networks for Sequence Modeling

Zhe Gan, Lawrence Carin, David E. Carlson, 2015, NIPS.

Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing

Lawrence Carin, Lihan He, L. Carin, 2009, IEEE Transactions on Signal Processing.

Wasserstein Contrastive Representation Distillation pdf

Zhe Gan, Jingjing Liu, Lawrence Carin, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Matching pursuits with a wave-based dictionary

Lawrence Carin, Mark R. McClure, L. Carin, 1997, IEEE Trans. Signal Process..

Adversarial Symmetric Variational Autoencoder

Zhe Gan, Lawrence Carin, Liqun Chen, 2017, NIPS.

Optimal Sensor Management and Signal Processing for New EMI Systems

Lawrence Carin, Nilanjan Dasgupta, Levi Kennedy, 2010 .

Tree-Structured Infinite Sparse Factor Model

David B. Dunson, Lawrence Carin, XianXing Zhang, 2011, ICML.

Benefits from Superposed Hawkes Processes

Xu Chen, Lawrence Carin, Hongteng Xu, 2017, AISTATS.

Designed Compressive Measurements

Lawrence Carin, 2013 .

Time-reversal imaging and classification for distant targets in a shallow water channel

Lawrence Carin, Nilanjan Dasgupta, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Semantic Matching for Sequence-to-Sequence Learning

Lawrence Carin, Changyou Chen, Ruiyi Zhang, 2020, Findings of the Association for Computational Linguistics: EMNLP 2020.

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models pdf

Xin Wang, Jianfeng Gao, Liqun Chen, 2019, ACL.

Joint Analysis of Time-Evolving Binary Matrices and Associated Documents

David B. Dunson, Lawrence Carin, Eric Wang, 2010, NIPS.

Gene expression analysis: Joint feature selection and classifler design

Lawrence Carin, Balaji Krishnapuram, Alexander J. Hartemink, 2004 .

Beta-Negative Binomial Process and Poisson Factor Analysis

David B. Dunson, Lawrence Carin, Mingyuan Zhou, 2011, AISTATS.

Multi-Label Learning from Medical Plain Text with Convolutional Residual Models

Xinyuan Zhang, Zhe Gan, Yitong Li, 2018, MLHC.

Complementary Auxiliary Classifiers for Label-Conditional Text Generation

Jianfeng Gao, Lawrence Carin, Xiujun Li, 2020, AAAI.

UWB SAR for Subsurface-Target Identification

Lawrence Carin, 1999 .

Automatic threat recognition of prohibited items at aviation checkpoint with x-ray imaging: a deep learning approach

Lawrence Carin, Souleymane O. Diallo, John B. Sigman, 2018, Defense + Security.

Compressive sensing for multi-static scattering analysis

Wenbin Lin, Lawrence Carin, Bin Guo, 2009, J. Comput. Phys..

Performance analysis for radar detection of buried antitank and antipersonnel land mines

Lam H. Nguyen, Lawrence Carin, Norbert Geng, 1999, Defense, Security, and Sensing.

Time-reversal imaging for wideband underwater target classification

Hongwei Liu, Lawrence Carin, Nilanjan Dasgupta, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

On the Use of Word Embeddings Alone to Represent Natural Language Sequences

Lawrence Carin, Martin Renqiang Min, Dinghan Shen, 2018 .

The Kernel Beta Process

David B. Dunson, Yingjian Wang, Lu Ren, 2011, NIPS.

Improving Textual Network Learning with Variational Homophilic Embeddings

Guoyin Wang, Liqun Chen, Lawrence Carin, 2019, NeurIPS.

Class-based identification of underwater targets using hidden Markov models

Lawrence Carin, Nilanjan Dasgupta, Paul Runkle, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Region-based value iteration for partially observable Markov decision processes

Hui Li, Lawrence Carin, Xuejun Liao, 2006, ICML.

Semisupervised Learning of Hidden Markov Models via a Homotopy Method

Lawrence Carin, Shihao Ji, L. T. Watson, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video

Lawrence Carin, Iulian Pruteanu-Malinici, 2007, 2007 IEEE International Conference on Image Processing.

Towards Understanding Fast Adversarial Training pdf

Suman Jana, Lawrence Carin, Shiqi Wang, 2020, ArXiv.

Graph Optimal Transport for Cross-Domain Alignment pdf

Yu Cheng, Zhe Gan, Jingjing Liu, 2020, ICML.

Dependent Hierarchical Beta Process for Image Interpolation and Denoising

David B. Dunson, Guillermo Sapiro, Hongxia Yang, 2011, AISTATS.

Time-evolving modeling of social networks

Rebecca Willett, Lawrence Carin, Eric Wang, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sparse linear regression with beta process priors

Bo Chen, Lawrence Carin, John W. Paisley, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Towards More Practical Stochastic Gradient MCMC in Differential Privacy

Hao Liu, Lawrence Carin, Changyou Chen, 2019 .

Improving Textual Network Embedding with Global Attention via Optimal Transport pdf

Guoyin Wang, Liqun Chen, Lawrence Carin, 2019, ACL.

Topic Compositional Neural Language Model

Zhe Gan, Lawrence Carin, Dinghan Shen, 2017, AISTATS.

Time-domain sensing of targets buried under a rough air-ground interface

Lawrence Carin, Leslie M. Collins, Traian Dogaru, 1998, Defense, Security, and Sensing.

Revisiting the Softmax Bellman Operator: New Benefits and New Perspective

Lawrence Carin, Zhao Song, Ronald E. Parr, 2018, ICML.

Syntax-Infused Variational Autoencoder for Text Generation pdf

Lawrence Carin, Dinghan Shen, Yi Yang, 2019, ACL.

Adaptive Sensing and Fusion of Multi-Sensor Data and Historical Information

Lawrence Carin, L. Carin, 2009 .

Dynamic Rank Factor Model for Text Streams

Lin Du, Lawrence Carin, Shaobo Han, 2014, NIPS.

Ultrasonic structural health monitoring by multiple‐input‐single‐output minimum variance processing

Jeffrey L. Krolik, Lawrence Carin, Jennifer E. Michaels, 2008 .

Online Expectation Maximization for Reinforcement Learning in POMDPs

Lawrence Carin, Miao Liu, Xuejun Liao, 2013, IJCAI.

VAE Learning via Stein Variational Gradient Descent

Zhe Gan, Lawrence Carin, Yunchen Pu, 2017, NIPS.

ICA with multiple quadratic constraints

Lawrence Carin, Xuejun Liao, L. Carin, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization

Lawrence Carin, David E. Carlson, Ikenna Odinaka, 2016, AISTATS.

Stochastic Control Theory for Sensor Management

Lawrence Carin, David A. Castanon, L. Carin, 2008 .

Ultra-Wideband Electromagnetics

Lawrence Carin, 1997 .

Advanced Magnetic System for UXO Detection and Discrimination

Yacine Dalichaouch, Lawrence Carin, Peter V. Czipott, 2007 .

Identification of ground targets from sequential high-range-resolution radar signatures

Lawrence Carin, Xuejun Liao, P. Runkle, 2002 .

Adaptive Multi-Sensor Interrogation of Targets Embedded in Complex Environments

Lawrence Carin, 2010 .

A concentration-of-measure inequality for multiple-measurement models

A. Robert Calderbank, Volkan Cevher, Xin Yuan, 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

Stochastic Blockmodels meet Graph Neural Networks

Lawrence Carin, Piyush Rai, Nikhil Mehta, 2019, ICML.

A Reward-Directed Bayesian Classifier

Hui Li, Lawrence Carin, Xuejun Liao, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation

David B. Dunson, Lu Ren, Lawrence Carin, 2009, NIPS.

Packaged printed transmission lines: modal phenomena and relation to leakage

Lawrence Carin, A. A. Oliner, Kevin J. Webb, 1993, 1993 IEEE MTT-S International Microwave Symposium Digest.

Integrated Non-Factorized Variational Inference

Lawrence Carin, Xuejun Liao, Shaobo Han, 2013, NIPS.

Short-pulse electromagnetic scattering from arbitrarily oriented subsurface ordnance

Lawrence Carin, Norbert Geng, 1999, IEEE Trans. Geosci. Remote. Sens..

The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research

Lawrence Carin, Ricardo Henao, Shelley A. Rusincovitch, 2018, AMIA.

Compressive sensing for incoherent imaging systems with optical constraints

A. Robert Calderbank, Miguel R. D. Rodrigues, Lawrence Carin, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training

Jianfeng Gao, Lawrence Carin, Xiujun Li, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Ultra-wideband characterization of lossy materials: short-pulse microwave measurements

Lawrence Carin, D. Kralj, 1993, 1993 IEEE MTT-S International Microwave Symposium Digest.

Modeling Pharmacogenomics of the NCI-60 Anticancer Data Set: Utilizing Kernel Pls to Correlate the Microarray Data to Therapeutic Responses

Lawrence Carin, Nilanjan Dasgupta, Simon Lin, 2002 .

Well-Conditioned Multi-Level Fast Multipole Modeling of Military Communication Channels

Lawrence Carin, 2004 .

High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models

Kai Fan, Lawrence Carin, Chunyuan Li, 2015, AAAI.

How to focus the discriminative power of a dictionary

A. Robert Calderbank, Miguel R. D. Rodrigues, Lawrence Carin, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gaussian mixture model for video compressive sensing

Guillermo Sapiro, Xin Yuan, Lawrence Carin, 2013, 2013 IEEE International Conference on Image Processing.

A Bivariate Gaussian Model for Unexploded Ordnance Classification with EMI Data

Yijun Yu, Lawrence Carin, David Williams, 2007, IEEE Geoscience and Remote Sensing Letters.

Hierarchical kernel stick-breaking process for multi-task image analysis

David B. Dunson, Lawrence Carin, Qi An, 2008, ICML '08.

The matrix stick-breaking process for flexible multi-task learning

David B. Dunson, Lawrence Carin, Ya Xue, 2007, ICML '07.

Learning Low-Dimensional Signal Models

Volkan Cevher, David B. Dunson, Guillermo Sapiro, 2011, IEEE Signal Processing Magazine.

Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks

Lawrence Carin, Chunyuan Li, Ricardo Henao, 2016, IJCAI.

Hierarchical factor modeling of proteomics data

Lawrence Carin, Joseph E. Lucas, Ricardo Henao, 2012, 2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS).

Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds

David B. Dunson, Lawrence Carin, John W. Paisley, 2010, IEEE Transactions on Signal Processing.

Multidisciplinary Research for Demining

Lawrence Carin, 2002 .

What Makes Good In-Context Examples for GPT-3? pdf

Weizhu Chen, Lawrence Carin, Dinghan Shen, 2021, DEELIO.

Active Data Acquisition with Incomplete Data

Lawrence Carin, Xuejun Liao, David P. Williams, 2005 .

Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning

Hongxia Jin, Lawrence Carin, Changyou Chen, 2019, NeurIPS.

Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images pdf

Lawrence Carin, Ricardo Henao, Jonathan Cohen, 2019, MLHC.

Analysis of VLSI Interconnect Structures

Lawrence Carin, J. A. McClintock, Qiang Xu, 1987, 1987 IEEE MTT-S International Microwave Symposium Digest.

Certified Adversarial Robustness with Additive Gaussian Noise

Lawrence Carin, Changyou Chen, Wenlin Wang, 2018, NeurIPS 2019.

Calibration and Uncertainty in Neural Time-to-Event Modeling

Lawrence Carin, Chenyang Tao, Ricardo Henao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Active Learning and Basis Selection for Kernel-Based Linear Models: A Bayesian Perspective

Lawrence Carin, John W. Paisley, Xuejun Liao, 2010, IEEE Transactions on Signal Processing.

Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise

Joseph A. O'Sullivan, Lawrence Carin, David J. Brady, 2014, SIAM J. Imaging Sci..

Parallel extended-Born analysis of electromagnetic scattering from 3-dimensional sub-rough surface targets

Lawrence Carin, Tiejun Yu, 2002, IEEE Antennas and Propagation Society International Symposium (IEEE Cat. No.02CH37313).

Joint dictionary learning and topic modeling for image clustering

Lawrence Carin, Eric Wang, Mingyuan Zhou, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Wideband electromagnetic induction for metal-target identification: theory, measurement, and signal processing

Lawrence Carin, Leslie M. Collins, Dean Keiswetter, 1998, Defense, Security, and Sensing.

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Lawrence Carin, Hongteng Xu, Dixin Luo, 2019, NeurIPS.

An equivalent circuit model for terminated hybrid-mode multiconductor transmission lines

Lawrence Carin, Kevin J. Webb, L. Carin, 1989 .

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference pdf

Chang Liu, Lawrence Carin, Jun Zhu, 2018, ArXiv.

Model-based statistical sensor fusion for unexploded ordnance detection

Leslie M. Collins, Lawrence Carin, Yizhe Zhang, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Sensing of unexploded ordnance with magnetometer and induction data: theory and signal processing

Leslie M. Collins, Lawrence Carin, Haitao Yu, 2003, IEEE Trans. Geosci. Remote. Sens..

Multi-task compressive sensing with Dirichlet process priors

David B. Dunson, Lawrence Carin, Dehong Liu, 2008, ICML '08.

Topic-Guided Variational Auto-Encoder for Text Generation pdf

Guoyin Wang, Zhe Gan, Lawrence Carin, 2019, NAACL.

Temporal Compressive Sensing for Video

Guillermo Sapiro, Xin Yuan, Lawrence Carin, 2015 .

Multiaspect target detection in SAR imagery using hidden Markov models

Lam H. Nguyen, Lawrence Carin, P. Runkle, 1999, Defense, Security, and Sensing.

An inner-loop free solution to inverse problems using deep neural networks

Katherine A. Heller, Lawrence Carin, Kai Fan, 2017, NIPS.

Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models

Lawrence Carin, Paul Runkle, L. Carin, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Migratory Logistic Regression for Learning Concept Drift Between Two Data Sets With Application to UXO Sensing

Lawrence Carin, Xuejun Liao, L. Carin, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Multiaspect Target Identification with Wave-Based Matched Pursuits and Continuous Hidden Markov Models

Lawrence Carin, Joseph A. Bucaro, Paul Runkle, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Transferable Perturbations of Deep Feature Distributions pdf

Lawrence Carin, Yiran Chen, Kevin J Liang, 2020, ICLR.

Progress Report on Advanced Detection and Classification Algorithms for Acoustic-Color-Based Sonar Systems

Lawrence Carin, Nilanjan Dasgupta, Steven Haron, 2006 .

Improved UXO detection via sensor fusion

Lawrence Carin, Leslie M. Collins, Yan Zhang, 2000, Defense, Security, and Sensing.

Statistical signal processing for detection of buried land mines using quadrupole resonance

Lawrence Carin, Leslie M. Collins, Feng Liu, 2000, Defense, Security, and Sensing.

Application of the theory of optimal experiments to adaptive electromagnetic-induction sensing of buried targets

Lawrence Carin, Xuejun Liao, L. Carin, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models

Lawrence Carin, Balaji Krishnapuram, 2002, JCIS.

Markov modeling of transient scattering and its application in multi-aspect target classification

Lawrence Carin, Yanting Dong, Paul Runkle, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Point-Based Policy Iteration

Hui Li, Lawrence Carin, Shihao Ji, 2007, AAAI.

Broadband frequency-domain magnetic system for landmine/UXO detection and discrimination

Yacine Dalichaouch, Brian W. Whitecotton, Lawrence Carin, 2003, SPIE Defense + Commercial Sensing.

A Bayesian Nonparametric Approach to Image Super-Resolution

Lawrence Carin, David M. Blei, Mingyuan Zhou, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Multi-Modality Inverse Scattering for Targets Embedded in General Stochastic Environments

Alfred O. Hero, Leslie M. Collins, James H. McClellan, 2008 .

A Generative Model for Deep Convolutional Learning pdf

Xin Yuan, Lawrence Carin, Yunchen Pu, 2015, ICLR.

Efficient patch-based approach for compressive depth imaging.

Xin Yuan, Lawrence Carin, Patrick Llull, 2016, Applied optics.

Nested Dictionary Learning for Hierarchical Organization of Imagery and Text

Lawrence Carin, Mingyuan Zhou, Lingbo Li, 2012, UAI.

Using Functional Genomic Units to Corroborate User Experiments with the Rosetta Compendium

Lawrence Carin, Simon Lin, Patrick McConnell, 2002 .

Hidden Markov Models With Stick-Breaking Priors

Lawrence Carin, John W. Paisley, L. Carin, 2009, IEEE Transactions on Signal Processing.

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Lawrence Carin, Liqun Chen, Yunchen Pu, 2017, NIPS.

Blind Compressed Sensing Over a Structured Union of Subspaces pdf

Yonina C. Eldar, Guillermo Sapiro, Lawrence Carin, 2011, ArXiv.

Classification with Incomplete Data Using Dirichlet Process Priors

David B. Dunson, Lawrence Carin, Xuejun Liao, 2010, J. Mach. Learn. Res..

Corrections to “Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds” [Dec 10 6140-6155]

David B. Dunson, Lawrence Carin, John W. Paisley, 2011, IEEE Transactions on Signal Processing.

Application of the biorthogonal multiresolution time-domain method to the analysis of elastic-wave interactions with buried targets

Lawrence Carin, Xianyang Zhu, 2004, IEEE Transactions on Geoscience and Remote Sensing.

Scalable Model Selection for Belief Networks

Yusuke Muraoka, Lawrence Carin, Zhao Song, 2017, NIPS.

Stick-Breaking Policy Learning in Dec-POMDPs

Jonathan P. How, Lawrence Carin, Miao Liu, 2015, IJCAI.

Unexploded ordnance detection using Bayesian physics-based data fusion

Leslie M. Collins, Lawrence Carin, Yan Zhang, 2003, Integr. Comput. Aided Eng..

Learning to Explore and Exploit in POMDPs

Lawrence Carin, Xuejun Liao, Chenghui Cai, 2009, NIPS.

Adapted statistical compressive sensing: Learning to sense gaussian mixture models

Guillermo Sapiro, Lawrence Carin, Guoshen Yu, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Logistic Stick-Breaking Process

David B. Dunson, Lu Ren, Lawrence Carin, 2011, J. Mach. Learn. Res..

On the low-frequency natural response of conducting and permeable targets

Carl E. Baum, Lawrence Carin, Norbert Geng, 1999, IEEE Trans. Geosci. Remote. Sens..

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance pdf

Lawrence Carin, Martin Renqiang Min, Dinghan Shen, 2020, ACL.

Infinite Hidden Markov Models for Unusual-Event Detection in Video

Lawrence Carin, Iulian Pruteanu-Malinici, L. Carin, 2008, IEEE Transactions on Image Processing.

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning pdf

Guoyin Wang, Zhe Gan, Liqun Chen, 2019, AAAI.

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis

Lawrence Carin, Yannan Sun, Yunchen Pu, 2016, AISTATS.

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding pdf

Guoyin Wang, Lawrence Carin, Dinghan Shen, 2019, ArXiv.

A Bayesian approach to unsupervised feature selection and density estimation using expectation propagation

Lawrence Carin, Nilanjan Dasgupta, Shaorong Chang, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Adaptive temporal compressive sensing for video

Guillermo Sapiro, Xin Yuan, Lawrence Carin, 2013, 2013 IEEE International Conference on Image Processing.

An End-to-End Generative Architecture for Paraphrase Generation

Guoyin Wang, Lawrence Carin, Qian Yang, 2019, EMNLP.

Logistic regression with an auxiliary data source

Lawrence Carin, Ya Xue, Xuejun Liao, 2005, ICML.

On the relationship between LFP & spiking data

Lawrence Carin, David E. Carlson, Jana Schaich Borg, 2014, NIPS 2014.

Model-based statistical signal processing for UXO discrimination: performance results from the JPG-V demonstration

Yan Zhang, Lawrence Carin, Leslie M. Collins, 2003, SPIE Defense + Commercial Sensing.

Topic Modeling with Nonparametric Markov Tree

David B. Dunson, Lawrence Carin, Haojun Chen, 2011, ICML.

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture

Jonathan P. How, Lawrence Carin, Trevor Campbell, 2013, NIPS.

Tree-Structure Bayesian Compressive Sensing for Video pdf

Xin Yuan, Lawrence Carin, Patrick Llull, 2014, ArXiv.

Solving DEC-POMDPs by Expectation Maximization of Value Function

Lawrence Carin, Zhao Song, Xuejun Liao, 2016, AAAI Spring Symposia.

GO Hessian for Expectation-Based Objectives pdf

Lawrence Carin, Junya Chen, Yulai Cong, 2020, AAAI.

GP Kernels for Cross-Spectrum Analysis

Lawrence Carin, Kyle R. Ulrich, David E. Carlson, 2015, NIPS.

Music Analysis Using Hidden Markov Mixture Models

Lawrence Carin, Yuting Qi, John William Paisley, 2007, IEEE Transactions on Signal Processing.

The Bayesian Elastic Net: Classifying Multi-Task Gene-Expression Data

Lawrence Carin, David E. Carlson, Alfred O. Hero, 2009 .

Scalable Probabilistic Tensor Factorization for Binary and Count Data

Matthew Harding, Lawrence Carin, Piyush Rai, 2015, IJCAI.

Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data

Matthew Harding, Lawrence Carin, Piyush Rai, 2015, ECML/PKDD.

Compressive Sensing of Signals from a GMM with Sparse Precision Matrices

Lawrence Carin, Jianbo Yang, Xuejun Liao, 2014, NIPS.

Sequence Generation with Guider Network pdf

Guoyin Wang, Zhe Gan, Liqun Chen, 2018, ArXiv.

Ultrawideband scattering from and the resonances of buried dielectric mines

Lawrence Carin, Norbert Geng, 1998, Defense, Security, and Sensing.

Kernel matching pursuits prioritization of wavelet coefficients for SPIHT image coding

Lawrence Carin, Shaorong Chang, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Active learning for semi-supervised multi-task learning

Hui Li, Lawrence Carin, Xuejun Liao, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals

Lawrence Carin, Simon M. Lin, Xuejun Liao, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multitask Classification by Learning the Task Relevance

Jun Fang, Lawrence Carin, Shihao Ji, 2008, IEEE Signal Processing Letters.

Sparse multinomial logistic regression: fast algorithms and generalization bounds

Lawrence Carin, Mário A. T. Figueiredo, Balaji Krishnapuram, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Mode Conversion and Leaky- Wave Excitation at

Lawrence Carin, Joseph L. Cina, 1995 .

Image translation for single-shot focal tomography

Xin Yuan, Lawrence Carin, Patrick Llull, 2015 .

A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels

A. Robert Calderbank, Miguel R. D. Rodrigues, Liming Wang, 2014, IEEE Transactions on Information Theory.

Coded aperture compressive temporal imaging

Guillermo Sapiro, Xin Yuan, Lawrence Carin, 2013, Optics express.

On Leveraging Pretrained GANs for Generation with Limited Data

Lawrence Carin, Yulai Cong, Miaoyun Zhao, 2020, ICML.

Volumetric fast multipole method for modeling Schrödinger's equation

Wenbin Lin, Lawrence Carin, Narayan Kovvali, 2007, J. Comput. Phys..

Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability pdf

Lawrence Carin, Binghui Wang, Yiran Chen, 2020, NeurIPS.

A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure

Lawrence Carin, Shaorong Chang, 2006, IEEE Transactions on Image Processing.

Symmetric Variational Autoencoder and Connections to Adversarial Learning pdf

Lawrence Carin, Liqun Chen, Weiyao Wang, 2017, AISTATS.

Invited Talk Abstracts

Neil D. Lawrence, Yi Ma, Lawrence Carin, 2010, AAAI Fall Symposium: Manifold Learning and Its Applications.

Ieee Transactions on Signal Processing Task-driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models Ieee Transactions on Signal Processing 2

Guillermo Sapiro, Lawrence Carin, Guoshen Yu, 2022 .

Generative Adversarial Network Training is a Continual Learning Problem pdf

Guoyin Wang, Lawrence Carin, Chunyuan Li, 2018, ArXiv.

Partially observable Markov decision processes for risk-based screening

Lawrence Carin, Xuejun Liao, Alex Mrozack, 2016, SPIE Defense + Security.

Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes

Lawrence Carin, Shihao Ji, Ronald Parr, 2007, IEEE Transactions on Signal Processing.

Classification of landmine-like metal targets using wideband electromagnetic induction

Leslie M. Collins, Lawrence Carin, Norbert Geng, 2000, IEEE Trans. Geosci. Remote. Sens..

Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization pdf

Zhe Gan, Lawrence Carin, David E. Carlson, 2015, AISTATS.

Generating Text via Adversarial Training

Zhe Gan, Lawrence Carin, Yizhe Zhang, 2016 .

Plan-In-Advance Active Learning 0f Classifiers

Lawrence Carin, Yan Zhang, Xuejun Liao, 2008 .

A general framework for reconstruction and classification from compressive measurements with side information

A. Robert Calderbank, Xin Yuan, Miguel R. D. Rodrigues, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Model-based object recognition by wave-oriented data processing

Lawrence Carin, Chi Tran, Leopold B. Felsen, 1995, Defense, Security, and Sensing.

Bayesian compressive sensing and projection optimization

Lawrence Carin, Shihao Ji, L. Carin, 2007, ICML '07.

Gradient Importance Learning for Incomplete Observations

Lawrence Carin, Chenyang Tao, Miroslav Pajic, 2021 .

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE pdf

Zhe Gan, Lawrence Carin, Wenlian Lu, 2021, ArXiv.

Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping pdf

Lawrence Carin, Chenyang Tao, Junya Chen, 2021, ArXiv.

FLOP: Federated Learning on Medical Datasets using Partial Networks

Lawrence Carin, Gregory P. Spell, Gregory Spell, 2021, KDD.

Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM pdf

Lawrence Carin, Rachel Lea Draelos, 2021, ArXiv.

Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images

Lawrence Carin, Ricardo Henao, Shahar Z. Kovalsky, 2019, Medical Image Anal..

Efficient Continual Adaptation for Generative Adversarial Networks pdf

Lawrence Carin, Sakshi Varshney, Piyush Rai, 2021, ArXiv.

Variational Inference with Holder Bounds pdf

Lawrence Carin, Zidi Xiu, Ke Bai, 2021, ArXiv.

Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning pdf

Zhe Gan, Lawrence Carin, Ruiyi Zhang, 2021, ICLR.

Learning Task Sampling Policy for Multitask Learning

Lawrence Carin, Henry Tsai, Dhanasekar Sundararaman, 2021, EMNLP.

Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images

Lawrence Carin, Ricardo Henao, Serge Assaad, 2021, CHIL.

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization pdf

Xinwei Deng, Lawrence Carin, Dong Wang, 2021, ArXiv.

Towards Fair Federated Learning with Zero-Shot Data Augmentation

Lawrence Carin, Changyou Chen, Jungwon Lee, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Efficient Feature Transformations for Discriminative and Generative Continual Learning

Lawrence Carin, Piyush Rai, Vinay Kumar Verma, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Wasserstein Contrastive Representation Distillation

Zhe Gan, Jingjing Liu, Lawrence Carin, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Imputation-Free Learning from Incomplete Observations pdf

Lawrence Carin, Chenyang Tao, Miroslav Pajic, 2021, ArXiv.

SpanPredict: Extraction of Predictive Document Spans with Neural Attention

Lawrence Carin, Liqun Chen, Matthew Engelhard, 2021, NAACL.

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders pdf

Lawrence Carin, Shijing Si, Weituo Hao, 2021, ICLR.

Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes

Joseph Y. Lo, Lawrence Carin, Maciej A. Mazurowski, 2020, Medical Image Anal..

APo-VAE: Text Generation in Hyperbolic Space

Zhe Gan, Jingjing Liu, Lawrence Carin, 2020, NAACL.

RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure

Felipe A. Medeiros, Lawrence Carin, Shounak Datta, 2020, Scientific Reports.

Enabling counterfactual survival analysis with balanced representations

Lawrence Carin, Ricardo Henao, Serge Assaad, 2021, CHIL.

Counterfactual Representation Learning with Balancing Weights

Lawrence Carin, Chenyang Tao, Ricardo Henao, 2021, AISTATS.

Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning pdf

Lawrence Carin, Vinay Kumar Verma, Kevin J Liang, 2021, ArXiv.

Malignancy Prediction and Lesion Identification from Clinical Dermatological Images pdf

Lawrence Carin, Ricardo Henao, William Ratliff, 2021, ArXiv.

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks

Lawrence Carin, Sakshi Varshney, Piyush Rai, 2021, NeurIPS.

Syntactic Knowledge-Infused Transformer and BERT Models

Lawrence Carin, Shijing Si, Dhanasekar Sundararaman, 2021, CIKM Workshops.

MixKD: Towards Efficient Distillation of Large-scale Language Models pdf

Lawrence Carin, Dinghan Shen, Changyou Chen, 2020, ICLR.

On Deep Learning for Medical Image Analysis.

Lawrence Carin, Michael J Pencina, L. Carin, 2018, JAMA.

Wideband dispersion measurements of water in reflection and transmission

Lawrence Carin, D. Kralj, 1994 .

An integrated transcriptome and expressed variant analysis of sepsis survival and death

Lawrence Carin, Geoffrey S Ginsburg, Charles B Cairns, 2014, Genome Medicine.

Regionalized Policy Representation for Reinforcement Learning in POMDPs

Hui Li, Lawrence Carin, Ronald Parr, 2007 .

In Situ Compressive Sensing

Lawrence Carin, Dehong Liu, Ya Xue, 2007 .

Multilevel fast multipole algorithm for general targets on a half-space interface

Lawrence Carin, Jiangqi He, Anders J. Sullivan, 2002 .

Application of a machine learning algorithm to predict malignancy in thyroid cytopathology

Lawrence Carin, Ricardo Henao, David Dov, 2020, Cancer cytopathology.

An EM Algorithm for Joint Feature Selection and Classifier Design 1

Lawrence Carin, Mário A. T. Figueiredo, Balaji Krishnapuram, 2003 .

MLFMA analysis of scattering from multiple targets in the presence of a half-space

Xiaolong Dong, Lawrence Carin, Jiangqi He, 2003 .

Bayesian Learning of Sparse Gaussian Graphical Models

Lawrence Carin, Xuejun Liao, Hao Wang, 2011 .

A hybrid technique combining the moment method with physical optics and uniform asymptotics for scattering from 2-D cylinders

Lawrence Carin, Anders Sullivan, 1999 .

Dynamic Nonparametric Bayesian Models for Analysis of Music

Scott Lindroth, Lawrence Carin, David Dunson, 2010 .

Order of accuracy analysis for multiresolution time-domain using Daubechies bases

Lawrence Carin, Narayan Kovvali, Wenbin Lin, 2005 .

Multilevel fast multipole algorithm for general dielectric targets in the presence of a lossy half‐space

Lawrence Carin, Jiangqi He, Anders Sullivan, 2001 .

Wave-oriented signal processing of dispersive time-domain scattering data

Lawrence Carin, S. Unnikrishna Pillai, Leopold B. Felsen, 1997 .

Multilevel fast multipole algorithm for three-dimensional dielectric targets in the vicinity of a lossy half space

Lawrence Carin, Jiangqi He, Anders Sullivan, 2001 .

Dispersion curves and transmission spectra of a two-dimensional photonic band-gap crystal: Theory and experiment

Lawrence Carin, D. Kralj, L. Carin, 1995 .

Music Analysis Using Hidden

Lawrence Carin, John Paisley, Yuting Qi, 2007 .

χ 2 Generative Adversarial Network

Jianfeng Feng, Lawrence Carin, Chenyang Tao, 2018 .

Video Segmentation via Variational Bayes Mixture Models

Lawrence Carin, Yuting Qi, 2006 .

Leaky waves on broadside-coupled microstrip

Lawrence Carin, Nirod K. Das, L. Carin, 1992 .

In situ compressive sensing

Lawrence Carin, Dehong Liu, Bin Guo, 2008 .

Wave-based matching-pursuits detection of submerged elastic targets

Lawrence Carin, Mark McClure, L. Carin, 1998 .

Fast multipole method for scattering from an arbitrary perfectly conducting target above or below a lossy half space

Lawrence Carin, Norbert Geng, Anders J. Sullivan, 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

Electromagnetic Time-Reversal Imaging in Changing Media : Experiment and Analysis

Lawrence Carin, Dehong Liu, Guillaume Bal, 2005 .

Time-domain characteristics of slotted-waveguide leaky-wave antennas

Lawrence Carin, D. R. Kralj, 1997 .

Time-domain wave-oriented data processing of scattering by nonuniform truncated gratings

Lawrence Carin, Leopold B. Felsen, Mark McClure, 1994 .

Microwave underground propagation and detection

Lawrence Carin, Jeffrey Sichina, J. F. Harvey, 2002 .

Experimental validation of a transport-based imaging method in highly scattering environments

Lawrence Carin, Dehong Liu, Guillaume Bal, 2007 .

Observations and Lessons Learned From the Artificial Intelligence Studies for Diabetic Retinopathy Screening.

Lawrence Carin, Daniel Shu Wei Ting, Michael D Abramoff, 2019, JAMA ophthalmology.

Time-domain sensing of targets buried under a rough air-ground interface

Lawrence Carin, Traian Dogaru, 1998 .

Short-pulse scattering from a dielectric BOR buried in a lossy layered medium

Lawrence Carin, N. Geng, 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

Application of Haar-wavelet-based multiresolution time-domain schemes to electromagnetic scattering problems

Lawrence Carin, Traian Dogaru, 2002 .

Fast multipole method for scattering from an arbitrary PEC target above or buried in a lossy half space

Lawrence Carin, Norbert Geng, Anders J. Sullivan, 2001 .

Characteristic impedance of multilevel, multiconductor hybrid mode microstrip

Lawrence Carin, Kevin J. Webb, L. Carin, 1989 .

Multiresolution time domain analysis of scattering from a rough dielectric surface

Lawrence Carin, Traian Dogaru, 2000 .

Application of Partially Observable Markov Decision Processes to Robot Navigation in a Minefield

Lawrence Carin, Shihao Ji, Lihan He, 2006 .

Multiresolution Time-Domain Using CDF Biorthogonal Wavelets

Lawrence Carin, Traian Dogaru, 2001 .

Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability

Lawrence Carin, Kyle R. Ulrich, David E. Carlson, 2018, Cell.

Host gene expression classifiers diagnose acute respiratory illness etiology

Lawrence Carin, Marshall Nichols, Anna Mazur, 2016, Science Translational Medicine.

A Host-Based RT-PCR Gene Expression Signature to Identify Acute Respiratory Viral Infection

Lawrence Carin, Geoffrey S Ginsburg, Alfred O Hero, 2013, Science Translational Medicine.

Artificial Intelligence Mapping of Structure to Function in Glaucoma

Felipe A. Medeiros, Lawrence Carin, Shounak Datta, 2020, Translational vision science & technology.

MLFMA-based quasi-direct analysis of scattering from electrically large targets

Lawrence Carin, Zhijun Liu, 2003 .

Characterization of layered dielectrics with short electromagnetic pulses

Lawrence Carin, Kok-Ming Leung, D. Kralj, 1993 .

Time harmonic and transient scattering by finite periodic flat strip arrays: hybrid (ray)-(Floquet mode)-(MOM) algorithm

Lawrence Carin, Leopold B. Felsen, L. Carin, 1993 .

Mode coupling and leakage effects in finite-size printed interconnects

Lawrence Carin, Kevin J. Webb, G. W. Slade, 1998 .

Moment-method modeling of short-pulse scattering from and the resonances of a wire buried inside a lossy, dispersive half-space

Lawrence Carin, S. Vitebskiy, L. Carin, 1995 .

Negative Binomial Process Count and Mixture Modeling.

Lawrence Carin, Mingyuan Zhou, L. Carin, 2012, IEEE transactions on pattern analysis and machine intelligence.

A hybrid (parabolic equation)-(Gaussian beam) algorithm for wave propagation through large inhomogeneous regions

Lawrence Carin, L. Carin, Bimba Roa, 1998 .

Moment-Method Modeling of Short-Pulse Scattering from and the Resonances of a Wire Buried Inside a L

Lawrence Carin, L. Carin, 1995 .

An Active Learning Approach for Rapid Characterization of Endothelial Cells in Human Tumors

Lawrence Carin, Michael D. Feldman, Badrinath Roysam, 2014, PloS one.

Bayesian modeling of temporal properties of infectious disease in a college student population

David B. Dunson, Lawrence Carin, Geoffrey S. Ginsburg, 2014 .

Graph Optimal Transport for Cross-Domain Alignment pdf

Yu Cheng, Zhe Gan, Jingjing Liu, 2020, ICML.

Spectral-temporal compressive imaging.

Lawrence Carin, Patrick Llull, David J Brady, 2015, Optics letters.

Superposition-Assisted Stochastic Optimization for Hawkes Processes

Lawrence Carin, Hongteng Xu, L. Carin, 2018, 1802.04725.

Sequential Modeling for Identifying Gene Locations in Human Genome

Lawrence Carin, Nilanjan Dasgupta, Simon M. Lin, 2001 .

Probabilistic Topic Models

Lawrence Carin, David Blei, David Dunson, 2010, IEEE Signal Processing Magazine.

Fast Electromagnetic Solvers for Large-Scale Naval Scattering Problems

Lawrence Carin, L. Carin, 2008 .

Parallel Implementation of the Biorthogonal MRTD Method

Lawrence Carin, Traian Dogaru, Xianyang Zhu, 2002 .

Well-conditioned MLFMA formulation for closed PEC targets in the vicinity of a half space

Lawrence Carin, R. J. Adams, Zhijun Liu, 2003 .

Volumetric MLFMA formulation for dielectric targets in the presence of a half‐space

Xiaolong Dong, Lawrence Carin, Zhijun Liu, 2004 .

Learning Autoencoders with Relational Regularization pdf

Lawrence Carin, Hongteng Xu, Dixin Luo, 2020, ICML.

Compressed sampling strategies for tomography.

Lawrence Carin, Joseph A O'Sullivan, Kenneth P. MacCabe, 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

Efficient evaluation of the half‐space Green's function for fast‐multipole scattering models

Lawrence Carin, Zhijun Liu, 2001 .

On the resonances of a dielectric BOR buried in a dispersive layered medium

Lawrence Carin, Norbert Geng, D. R. Jackson, 1999 .

Multiresolution time-domain analysis of plane-wave scattering from general three-dimensional surface and subsurface dielectric targets

Lawrence Carin, Xianyang Zhu, 2001 .

On the extended-Born technique for scattering from buried dielectric targets

Lawrence Carin, Traian Dogaru, Nilanjan Dasgupta, 1999 .

Separating background and foregroundin video based on a nonparametric Bayesian model

Lawrence Carin, Xinghao Ding, L. Carin, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

High-frequency fields excited by truncated arrays of nonuniformly distributed filamentary scatterers on an infinite dielectric slab: parameterizing (leaky mode)-(Floquet mode) interaction

Lawrence Carin, Leopold B. Felsen, L. Carin, 1996 .

Short-Pulse Scattering from and the Resonances of Buried and Surface Metal Mines

Lawrence Carin, Stanislav Vitebskiy, 1997 .

TEM Video Compressive Sensing

Xin Yuan, Lawrence Carin, Nigel D. Browning, 2015, Microscopy and Microanalysis.

Classification of distant targets situated near channel bottoms

Lawrence Carin, Thomas E. Giddings, Joseph A. Bucaro, 2004 .

Fast multipole method for scattering from 3‐D PEC targets situated in a half‐space environment

Lawrence Carin, Norbert Geng, Anders Sullivan, 1999 .