Vikas Singh

发表

A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations

Vikas Singh, Claudio Carnevale, Giovanna Finzi, 2011, Environ. Model. Softw..

Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging

Vikas Singh, Chris Hinrichs, Jiming Peng, 2012, NIPS.

Real-Time Volume Manipulation

Vikas Singh, Deborah Silver, Nicu D. Cornea, 2003, VG.

Convergence rates for pretraining and dropout: Guiding learning parameters using network structure pdf

Vikas Singh, Vamsi K. Ithapu, Sathya Ravi, 2015, ArXiv.

A new algorithm for determining 3D biplane imaging geometry: theory and implementation

Vikas Singh, Jinhui Xu, Kenneth R. Hoffmann, 2005, SPIE Medical Imaging.

On the interplay of network structure and gradient convergence in deep learning

Vikas Singh, Vamsi K. Ithapu, Sathya Ravi, 2015, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision pdf

Vikas Singh, Sathya Ravi, Tuan Dinh, 2018, ArXiv.

Fusion of Gait and Facial Feature Using PCA

Anupam Shukla, Ritu Tiwari, Vikas Singh, 2011, FGIT-SIP.

GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity

James M. Rehg, Jia Xu, Vikas Singh, 2013, 2013 IEEE International Conference on Computer Vision.

Topological Characterization of Signal in Brain Images Using Min-Max Diagrams

Moo K. Chung, Vikas Singh, Richard J. Davidson, 2009, MICCAI.

Online Graph Completion: Multivariate Signal Recovery in Computer Vision

Vikas Singh, Sterling C. Johnson, Mona Jalal, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adaptive cuts for extracting specific white matter tracts

Vikas Singh, Andrew L. Alexander, Nagesh Adluru, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness

Moo K. Chung, Vikas Singh, Chris Hinrichs, 2014, NeuroImage.

MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials

Vikas Singh, Chris Hinrichs, Sterling C. Johnson, 2011, MLINI.

Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials

Vikas Singh, Sterling C. Johnson, Vamsi K. Ithapu, 2014, MICCAI.

Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks

Yan Cui, Vikas Singh, Chandan Kumar, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

27.5 A 4GS/s time-interleaved RF ADC in 65nm CMOS with 4GHz input bandwidth

Denis C. Daly, Matthew Z. Straayer, Vikas Singh, 2016, 2016 IEEE International Solid-State Circuits Conference (ISSCC).

Feature Learning Using Stacked Autoencoder for Shared and Multimodal Fusion of Medical Images

Yan Cui, Vikas Singh, Nishchal K. Verma, 2018, Computational Intelligence: Theories, Applications and Future Directions - Volume I.

Higher Pollution Episode Detection Using Image Classification Techniques

Vikas Singh, Vikas Singh, 2016, Environmental Modeling & Assessment.

Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets

Jia Xu, Vikas Singh, Maxwell D. Collins, 2012, ECCV.

Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions

Leo Grady, Jia Xu, Vikas Singh, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Robust Blind Deconvolution via Mirror Descent pdf

Vikas Singh, Sathya Ravi, Ronak Mehta, 2018, ArXiv.

Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging

Vikas Singh, Sterling C. Johnson, Nagesh Adluru, 2016, ECCV.

Deep Learning Architecture for High-Level Feature Generation Using Stacked Auto Encoder for Business Intelligence

Vikas Singh, Nishchal K. Verma, 2018 .

SnFFT: a Julia toolkit for Fourier analysis of functions over permutations

Vikas Singh, Risi Kondor, Deepti Pachauri, 2015, J. Mach. Learn. Res..

Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures

Vikas Singh, Chris Hinrichs, Andrew L. Alexander, 2010, NIPS.

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks

Vikas Singh, Sterling C. Johnson, Sathya Ravi, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation pdf

Vikas Singh, Vamsi K. Ithapu, Sathya Ravi, 2017, ArXiv.

Algorithms for Real Time Detection and Depth Calculation of Obstacles by Autonomous Robots

Vikas Singh, N. Hemanth, Anvaya Rai, 2008, 2008 IEEE Conference on Robotics, Automation and Mechatronics.

Spatial transfer functions: a unified approach to specifying deformation in volume modeling and animation

Min Chen, Vikas Singh, Deborah Silver, 2003, VG.

Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease

Vikas Singh, Sterling C. Johnson, Vamsi K. Ithapu, 2017, Deep Learning for Medical Image Analysis.

On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus

Vikas Singh, Jinhui Xu, Ronald Berezney, 2006, MICCAI.

Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space

Moo K. Chung, Alex D. Leow, Vikas Singh, 2013, MICCAI.

A Type-2 Fuzzy Systems Approach for Clustering-Based Identification of a T-S Regression Model

Vikas Singh, Nishchal K. Verma, Homanga Bharadhwaj, 2019 .

An efficient algorithm for Co-segmentation

Vikas Singh, Dorit S. Hochbaum, D. Hochbaum, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Guidewire Reproducibilty and Modeling

Peter B. Noël, Vikas Singh, Sebastian Schafer, 2008 .

Palmprint Biometrics using Feed Forward Back Propagation Neural Network

Vikas Singh, Nilmani Verma, Rashmi Shrivas, 2013 .

Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations

Vikas Singh, Sterling C. Johnson, Gregory Plumb, 2017, MICCAI.

Efficient Job Scheduling Algorithms with Multi-type Contentions

Vikas Singh, Jinhui Xu, Zhenming Chen, 2004, ISAAC.

Comprehensive set of mutation operators for the determination of adequacy of test set

Vikas Singh, Hema Kashyap, Vineet Chauhan, 2015, 2015 International Conference on Advances in Computer Engineering and Applications.

A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices

Vikas Singh, Rudrasis Chakraborty, Baba C. Vemuri, 2018, NeurIPS.

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging

Vikas Singh, Sterling C. Johnson, Seong Jae Hwang, 2019, UAI.

Generalized Median Graphs: Theory and Applications

Vikas Singh, Jiming Peng, Jinhui Xu, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Fusion of Low-level Features with Stacked Autoencoder for Condition based Monitoring of Machines

Jie Liu, Vikas Singh, Nishchal K. Verma, 2018, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM).

Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease

Moo K. Chung, Vikas Singh, Sterling C. Johnson, 2015, NeuroImage.

The Incremental Multiresolution Matrix Factorization Algorithm

Vikas Singh, Sterling C. Johnson, Vamsi K. Ithapu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Scale invariant cosegmentation for image groups

Vikas Singh, Jiming Peng, Lopamudra Mukherjee, 2011, CVPR 2011.

Prognosis of Diesel Engine (MBT) Using Feature Extraction Techniques: A Comparative Study

Jie Liu, Vikas Singh, Nishchal K. Verma, 2018, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM).

Interactive volume manipulation with selective rendering for improved visualization

Vikas Singh, Deborah Silver, D. Silver, 2004, 2004 IEEE Symposium on Volume Visualization and Graphics.

Network Connectivity via Inference over Curvature-Regularizing Line Graphs

Vikas Singh, Andrew L. Alexander, Maxwell D. Collins, 2010, ACCV.

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families pdf

Vikas Singh, Seong Jae Hwang, Ronak Mehta, 2018, ArXiv.

Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)

Vikas Singh, Hyunwoo J. Kim, Nagesh Adluru, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Integrated library management systems: Comparative analysis of Koha, Libsys, NewGenLib, and Virtua

Margam Madhusudhan, Vikas Singh, 2016, Electron. Libr..

Canonical Correlation Analysis on Riemannian Manifolds and Its Applications

Vikas Singh, Sterling C. Johnson, Baba C. Vemuri, 2014, ECCV.

Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction

Yan Cui, Vikas Singh, Nishchal K. Verma, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A 16MHz BW 75dB DR CT ΔΣ ADC compensated for more than one cycle excess loop delay

Debasish Behera, Nagendra Krishnapura, Vikas Singh, 2011, 2011 IEEE Custom Integrated Circuits Conference (CICC).

Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data

Mary E. Meyerand, Bharat B. Biswal, Vikas Singh, 2013, Front. Comput. Neurosci..

Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis

Vikas Singh, Maxwell D. Collins, Deepti Pachauri, 2012, ICML.

Speeding up Permutation Testing in Neuroimaging

Vikas Singh, Chris Hinrichs, Sterling C. Johnson, 2013, NIPS.

Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population

Vikas Singh, Chris Hinrichs, Sterling C. Johnson, 2011, NeuroImage.

Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data

Vikas Singh, Ligang Zheng, Hyunwoo J. Kim, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Network Flow Formulations for Learning Binary Hashing

Vikas Singh, Jiming Peng, Lopamudra Mukherjee, 2016, ECCV.

Interpolation on the Manifold of K Component GMMs

Vikas Singh, Baba C. Vemuri, Hyunwoo J. Kim, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Condition Based Monitoring of Machine Using Mamdani Fuzzy Network

Jie Liu, Vikas Singh, Nishchal K Verma, 2018, 2018 Prognostics and System Health Management Conference (PHM-Chongqing).

Linear programming approach to optimize 3D data obtained from multiple view angiograms

Peter B. Noël, Vikas Singh, Sebastian Schafer, 2007, SPIE Medical Imaging.

An NMF Perspective on Binary Hashing

Vikas Singh, Vamsi K. Ithapu, Sathya Ravi, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Ensemble Clustering using Semidefinite Programming

Vikas Singh, Jiming Peng, Jinhui Xu, 2007, NIPS.

Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging

Vikas Singh, Won Hwa Kim, Seong Jae Hwang, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Limited view CT reconstruction and segmentation via constrained metric labeling

Vikas Singh, Jinhui Xu, Kenneth R. Hoffmann, 2008, Comput. Vis. Image Underst..

Cortical Surface Thickness as a Classifier: Boosting for Autism Classification

Moo K. Chung, Vikas Singh, Lopamudra Mukherjee, 2008, MICCAI.

An efficient algorithm for maximal margin clustering

Dale Schuurmans, Vikas Singh, Jiming Peng, 2012, J. Glob. Optim..

A framework for performing multi-resolution statistical analysis of brain connectivity graphs for preclinical Alzheimer’s disease

Moo K. Chung, Vikas Singh, Nagesh Adluru, 2015, Alzheimer's & Dementia.

A linear programming based algorithm for determining corresponding point tuples in multiple vascular images

Peter B. Noël, Vikas Singh, Jinhui Xu, 2006, SPIE Medical Imaging.

Efficient Relative Attribute Learning Using Graph Neural Networks

Vikas Singh, Glenn Fung, Hyunwoo J. Kim, 2018, ECCV.

Abundant Inverse Regression Using Sufficient Reduction and Its Applications

Vikas Singh, Sterling C. Johnson, Charles R. Dyer, 2016, ECCV.

Limited view CT reconstruction via constrained metric labeling

Vikas Singh, Jinhui Xu, Kenneth R. Hoffmann, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images

Moo K. Chung, Vikas Singh, Sterling C. Johnson, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Label set perturbation for MRF based neuroimaging segmentation

Vikas Singh, Sterling C. Johnson, Dylan Hower, 2009, 2009 IEEE 12th International Conference on Computer Vision.

A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer

Vikas Singh, Sterling C. Johnson, Vamsi K. Ithapu, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Solving the brachytherapy seed localization problem using geometric and linear programming techniques

Vikas Singh, Jinhui Xu, Kenneth R. Hoffmann, 2006, SAC '06.

Gaze-enabled egocentric video summarization via constrained submodular maximization

James M. Rehg, Yin Li, Jia Xu, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Convergence of gradient based pre-training in Denoising autoencoders pdf

Vikas Singh, Vamsi K. Ithapu, Sathya Ravi, 2015, ArXiv.

Multi-resolution statistical analysis on graph structured data in neuroimaging

Moo K. Chung, Vikas Singh, Sterling C. Johnson, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination

Moo K. Chung, Vikas Singh, Sterling C. Johnson, 2012, NIPS.

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning

Vikas Singh, Sathya Ravi, Maxwell D. Collins, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective pdf

Vikas Singh, Sterling C. Johnson, Ming Yuan, 2017, ArXiv.

Ensemble clustering using semidefinite programming with applications

Vikas Singh, Jiming Peng, Jinhui Xu, 2010, Machine Learning.

Efficient techniques for background estimation and vessel detection in coronary images

Vikas Singh, Jinhui Xu, Kenneth R. Hoffmann, 2004, CARS.

Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems

Moo K. Chung, Vikas Singh, Won Hwa Kim, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

A Biresolution Spectral Framework for Product Quantization

Vikas Singh, Jiming Peng, Sathya Ravi, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty pdf

Vikas Singh, Hao Henry Zhou, Yunyang Xiong, 2018, ArXiv.

Spectral Clustering with a Convex Regularizer on Millions of Images

Jia Xu, Vikas Singh, Ji Liu, 2014, ECCV.

Efficient geometric techniques for reconstructing 3D vessel trees from biplane image

Vikas Singh, Jinhui Xu, Kenneth R. Hoffmann, 2005, Symposium on Computational Geometry.

Planning image-guided endovascular interventions: guidewire simulation using shortest path algorithms

Peter B. Noël, Vikas Singh, Jinhui Xu, 2007, SPIE Medical Imaging.

A methodology to overcome challenges and risks associated with ambient intelligent systems

Vikas Singh, Hema Kashyap, Vinita Chauhan, 2015, 2015 International Conference on Advances in Computer Engineering and Applications.

On Statistical Analysis of Neuroimages with Imperfect Registration

Vikas Singh, Sterling C. Johnson, Sathya Ravi, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease

Vikas Singh, Sterling C. Johnson, Vamsi K. Ithapu, 2016, NIPS.

Binary Particle Swarm Optimization with Crossover Operation for Discrete Optimization

Vikas Singh, Deepak Singh, Uzma Ansari, 2011 .

Convolutional Neural Network with Stacked Autoencoder for Kernel Initialization

Vikas Singh, Nishchal K. Verma, Anirudh Swaminathan, 2019 .

Optimisation of the Bottom Tuyeres Configuration for the BOF Vessel Using Physical and Mathematical Modelling

Vikas Singh, Jyoti Kumar, S. K. Ajmani, 2007 .

Experimental Design on a Budget for Sparse Linear Models and Applications

Vikas Singh, Sterling C. Johnson, Vamsi K. Ithapu, 2016, ICML.

Real-time endovascular guidewire position simulation using shortest path algorithms

Peter B. Noël, Vikas Singh, Jinhui Xu, 2009, International Journal of Computer Assisted Radiology and Surgery.

MDABC: Motif Discovery Using Artificial Bee Colony Algorithm

Anupam Shukla, Ritu Tiwari, Vikas Singh, 2012, J. Inf. Technol. Res..

Manifold-valued Dirichlet Processes

Jia Xu, Vikas Singh, Baba C. Vemuri, 2015, ICML.

Brachytherapy Seed Localization Using Geometric and Linear Programming Techniques

Vikas Singh, Jinhui Xu, Kenneth R. Hoffmann, 2007, IEEE Transactions on Medical Imaging.

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset

Moo K. Chung, Vikas Singh, Chris Hinrichs, 2009, NeuroImage.

Fuzzy Based Investment Portfolio Management

Vikas Singh, Nishchal K. Verma, Mayank Pandey, 2019, Applying Fuzzy Logic for the Digital Economy and Society.

Filter Flow Made Practical: Massively Parallel and Lock-Free

Vikas Singh, Sathya Ravi, Lopamudra Mukherjee, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Controlling UAVs with Sensor Input Spoofing Attacks

Hao Wu, Vikas Singh, Thomas Ristenpart, 2016, WOOT.

Compensating for Quantizer Delay in Excess of One Clock Cycle in Continuous-Time $\Delta\Sigma$ Modulators

Nagendra Krishnapura, Vikas Singh, Shanthi Pavan, 2010, IEEE Transactions on Circuits and Systems II: Express Briefs.

Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging

Vikas Singh, Sterling C. Johnson, Baba C. Vemuri, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Enhanced Spectrum Utilization for Existing Cellular Technologies Based on Genetic Algorithm in Preview of Cognitive Radio

Vikas Singh, K. Sridhara, P. K. Dalela, 2009, Int. J. Commun. Netw. Syst. Sci..

Efficient Job Scheduling Algorithms with Multi-Type Contentions

Vikas Singh, Jinhui Xu, Zhenming Chen, 2004, J. Comb. Optim..

Learning kernels for variants of normalized cuts: Convex relaxations and applications

Vikas Singh, Chris Hinrichs, Jiming Peng, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Interactive volume manipulation with selective rendering for improved visualization

Vikas Singh, Deborah Silver, 2004 .

Frontal view gait based recognition using PCA

Anupam Shukla, Ritu Tiwari, Vikas Singh, 2011, ACAI '11.

Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus

Jia Xu, Vikas Singh, Maxwell D. Collins, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

A 16 MHz BW 75 dB DR CT $\Delta\Sigma$ ADC Compensated for More Than One Cycle Excess Loop Delay

Debasish Behera, Nagendra Krishnapura, Vikas Singh, 2012, IEEE Journal of Solid-State Circuits.

A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans

Vikas Singh, Rudrasis Chakraborty, Baba C. Vemuri, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging

Vikas Singh, Sterling C. Johnson, Yunyang Xiong, 2019, IPMI.

Fooling Computer Vision into Inferring the Wrong Body Mass Index pdf

Vikas Singh, Xiaojin Zhu, Zihang Meng, 2019, ArXiv.

Optimal Feature Selection using Fuzzy Combination of Feature Subset for Transcriptome Data

Yan Cui, Vikas Singh, Nishchal K. Verma, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Statistical inference models for image datasets with systematic variations

Moo K. Chung, Vikas Singh, Sterling C. Johnson, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees pdf

Vikas Singh, Sathya Ravi, Maxwell D. Collins, 2017, INFORMS Journal on Optimization.

Application of Data Mining Techniques to Palmprint Recognition

Vikas Singh, Prachi P. Janrao, 2012 .

View variations effect in gait recognition and performance improvement using fusion

Anupam Shukla, Ritu Tiwari, Vikas Singh, 2012, 2012 1st International Conference on Recent Advances in Information Technology (RAIT).

Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease

Moo K. Chung, Vikas Singh, Chris Hinrichs, 2011, IEEE Transactions on Medical Imaging.

Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? pdf

Vikas Singh, Yunyang Xiong, Ronak Mehta, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Implementation and Analysis of Various PAPR Reduction Techniques using MATLAB

Vikas Singh, Sudipta Ghosh, Ankit Bass, 2013 .

A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science

Jignesh M. Patel, Vikas Singh, Andrew L. Alexander, 2018, MICCAI.

Solving the multi-way matching problem by permutation synchronization

Vikas Singh, Risi Kondor, Deepti Pachauri, 2013, NIPS.

Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision

Vikas Singh, Risi Kondor, Deepti Pachauri, 2014, NIPS.

MKL for Robust Multi-modality AD Classification

Vikas Singh, Chris Hinrichs, Sterling C. Johnson, 2009, MICCAI.

A variational approximation for analyzing the dynamics of panel data

Vikas Singh, Rudrasis Chakraborty, Sathya Ravi, 2021, UAI.

Dimension constraints improve hypothesis testing for large-scale, graph-associated, brain-image data.

Vikas Singh, Michael A Newton, Tien Vo, 2019, Biostatistics.

Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks

Vikas Singh, Vishnu Suresh Lokhande, Jurijs Nazarovs, 2021, UAI.

Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center pdf

Vikas Singh, Joseph Bockhorst, Zihang Meng, 2021, ArXiv.

Physarum Powered Differentiable Linear Programming Layers and Applications

Vikas Singh, Zihang Meng, Sathya N. Ravi, 2020, AAAI.

Forward Operator Estimation in Generative Models with Kernel Transfer Operators pdf

Vikas Singh, Rudrasis Chakraborty, Zhichun Huang, 2021, ICML.

Connecting What to Say With Where to Look by Modeling Human Attention Traces

Vikas Singh, Tamara L. Berg, Tamara Berg, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

An Online Riemannian PCA for Stochastic Canonical Correlation Analysis pdf

Vikas Singh, Rudrasis Chakraborty, Zihang Meng, 2021, NeurIPS.

You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling

Vikas Singh, Sathya Ravi, Yunyang Xiong, 2021, ICML.

Simpler Certified Radius Maximization by Propagating Covariances

Vikas Singh, Rudrasis Chakraborty, Xingjian Zhen, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Invariant Representations using Inverse Contrastive Loss

Vikas Singh, Aditya Kumar Akash, Vishnu Suresh Lokhande, 2021, AAAI.

Extracting white matter hyperintensities in Alzheimer's disease risk and aging studies using supervised segmentation methods

Vikas Singh, Chris Hinrichs, Cynthia Carlsson, 2013, Alzheimer's & Dementia.

Classification in DTI using shapes of white matter tracts

Moo K. Chung, Vikas Singh, Chris Hinrichs, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment

Vikas Singh, Sterling C. Johnson, Vamsi K. Ithapu, 2015, Alzheimer's & Dementia.