S. Kolouri

发表

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay pdf

Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, 2019, IJCAI.

Statistical and Topological Properties of Sliced Probability Divergences pdf

Shahin Shahrampour, Alain Durmus, Umut Simsekli, 2020, NeurIPS.

Praveen K. Pilly, Nicholas A. Ketz, J. Krichmar, 2019, 1903.06070.

Sliced Wasserstein Kernels for Probability Distributions

Yang Zou, Gustavo K. Rohde, Soheil Kolouri, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Detection of malignant mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens

A. B. Tosun, G. Rohde, S. Kolouri, 2015, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Generalized Sliced Wasserstein Distances

Roland Badeau, Gustavo K. Rohde, Soheil Kolouri, 2019, NeurIPS.

Deep Transfer Learning for Few-Shot SAR Image Classification

Eric Eaton, Mohammad Rostami, S. Kolouri, 2019, Remote. Sens..

Wasserstein Embedding for Graph Learning pdf

Heiko Hoffmann, Navid Naderializadeh, Gustavo K. Rohde, 2020, ICLR.

Statistical and Topological Properties of Sliced Probability Divergences pdf

Shahin Shahrampour, Alain Durmus, Soheil Kolouri, 2020, NeurIPS.

Sliced Wasserstein Auto-Encoders

Gustavo K. Rohde, Soheil Kolouri, Charles E. Martin, 2018, ICLR.

Teaching Networks to Solve Optimization Problems

S. Kolouri, J. Mohammadi, Meiyi Li, 2022, IEEE Access.

Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations

H. Pirsiavash, V. Braverman, S. Kolouri, 2022, CoLLAs.

Wasserstein Task Embedding for Measuring Task Similarities

A. Soltoggio, S. Kolouri, Yikun Bai, 2022, ArXiv.

PRANC: Pseudo RAndom Networks for Compacting deep models

H. Pirsiavash, S. Kolouri, Ali Abbasi, 2022, ArXiv.

Learning to Solve Optimization Problems With Hard Linear Constraints

S. Kolouri, J. Mohammadi, Meiyi Li, 2022, IEEE Access.

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

G. Rohde, S. Kolouri, Xuwang Yin, 2019, International Conference on Learning Representations.

Is Multi-Task Learning an Upper Bound for Continual Learning?

H. Pirsiavash, S. Kolouri, Zihao Wu, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sliced Optimal Partial Transport

S. Kolouri, Yikun Bai, Bernard Schmitzer, 2022, 2212.08049.

Lifelong Reinforcement Learning with Modulating Masks

Praveen K. Pilly, A. Soltoggio, S. Kolouri, 2022, ArXiv.

A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems

Santhosh K. Ramakrishnan, Gautam K. Vallabha, Praveen K. Pilly, 2023, Neural Networks.

The Cumulative Distribution Transform and Linear Pattern Classification pdf

Gustavo K. Rohde, Soheil Kolouri, Se Rim Park, 2015, Applied and Computational Harmonic Analysis.

Zero-Shot Image Classification Using Coupled Dictionary Embedding pdf

Mohammad Rostami, Eric Eaton, Soheil Kolouri, 2019, Machine Learning with Applications.

Neuromodulated attention and goal-driven perception in uncertain domains

Soheil Kolouri, Xinyun Zou, Praveen K. Pilly, 2020, Neural Networks.

Sliced Optimal Partial Transport

S. Kolouri, Yikun Bai, Bernard Schmitzer, 2022, ArXiv.

A Transportation Lp\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$L^p$$\end{document} Distance for Signal Analysis

Gustavo K. Rohde, Soheil Kolouri, Dejan Slepcev, 2016, Journal of Mathematical Imaging and Vision.

A Transportation Lp Distance for Signal Analysis pdf

Gustavo K. Rohde, Soheil Kolouri, Dejan Slepcev, 2016, ArXiv.

Optimal Mass Transport: Signal processing and machine-learning applications

Gustavo K. Rohde, Soheil Kolouri, Dejan Slepcev, 2017, IEEE Signal Processing Magazine.

A continuous linear optimal transport approach for pattern analysis in image datasets

Gustavo K. Rohde, Soheil Kolouri, John A. Ozolek, 2016, Pattern Recognit..

Biological underpinnings for lifelong learning machines

Praveen K. Pilly, Nicholas A. Ketz, J. Clune, 2022, Nature Machine Intelligence.

Quantification of Respiratory Laryngeal Morphometry: Comparison of Laryngeal Lumen Angle Estimate Methods.

S. Kolouri, Adrianna C. Shembel, Katherine Verdolini Abbott, 2016, Journal of voice : official journal of the Voice Foundation.

Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning

Gustavo K. Rohde, Saurav Basu, Soheil Kolouri, 2014, Medical Image Anal..

Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry

Soheil Kolouri, Saurav Basu, Gustavo K Rohde, 2014, Proceedings of the National Academy of Sciences.

Explainability Methods for Graph Convolutional Neural Networks

Heiko Hoffmann, Mohammad Rostami, Soheil Kolouri, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Transport-based analysis, modeling, and learning from signal and data distributions pdf

Gustavo K. Rohde, Soheil Kolouri, Dejan Slepcev, 2016, ArXiv.

Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments

Soheil Kolouri, Praveen K. Pilly, Pawel Ladosz, 2020, Frontiers in Neurorobotics.

Adversarial Example Detection and Classification With Asymmetrical Adversarial Training

G. Rohde, S. Kolouri, Xuwang Yin, 2019, ICLR 2020.

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model pdf

Gustavo K. Rohde, Soheil Kolouri, Charles E. Martin, 2018, ArXiv.

Image to Image Translation for Domain Adaptation

David J. Kriegman, Kyungnam Kim, Soheil Kolouri, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Radon Cumulative Distribution Transform Subspace Modeling for Image Classification

A. Aldroubi, G. Rohde, S. Kolouri, 2020, Journal of Mathematical Imaging and Vision.

The Radon Cumulative Distribution Transform and Its Application to Image Classification

Gustavo K. Rohde, Soheil Kolouri, Se Rim Park, 2015, IEEE Transactions on Image Processing.

Generative Continual Concept Learning

Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, 2019, AAAI.

Lifelong Reinforcement Learning with Modulating Masks

Praveen K. Pilly, A. Soltoggio, S. Kolouri, 2022, ArXiv.

The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning

Praveen K. Pilly, A. Soltoggio, S. Kolouri, 2023, ArXiv.

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations

Soheil Kolouri, Andrea Soltoggio, Praveen K. Pilly, 2020, ICLR.

Collaborative Learning Through Shared Collective Knowledge and Local Expertise

Soheil Kolouri, Javad Mohammadi, S. Kolouri, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture

Jeffrey L. Krichmar, Soheil Kolouri, Andrea Soltoggio, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

Heiko Hoffmann, Gustavo K. Rohde, Soheil Kolouri, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Continual Learning Using World Models for Pseudo-Rehearsal

Soheil Kolouri, Praveen K. Pilly, Nicholas Ketz, 2019 .

Using World Models for Pseudo-Rehearsal in Continual Learning pdf

Soheil Kolouri, Praveen K. Pilly, Nicholas Ketz, 2019, ArXiv.

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs

Heiko Hoffmann, Soheil Kolouri, Hamed Pirsiavash, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition

Mohammad Rostami, Eric Eaton, Kyungnam Kim, 2017, AAMAS.

Divide-and-Conquer Adversarial Detection pdf

Gustavo K. Rohde, Soheil Kolouri, Xuwang Yin, 2019, ArXiv.

Transport-based single frame super resolution of very low resolution face images

Gustavo K. Rohde, Soheil Kolouri, G. Rohde, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Generalized Sliced Probability Metrics

Umut Simsekli, S. Kolouri, Kimia Nadjahi, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sliced Optimal Partial Transport

S. Kolouri, Yikun Bai, Bernard Schmitzer, 2022, ArXiv.

Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment

Mohammad Rostami, Alex Gabourie, Kyungnam Kim, 2019, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning

Eric Eaton, Kyungnam Kim, Mohammad Rostami, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks

Soheil Kolouri, A. Soltoggio, S. Kolouri, 2023, ArXiv.

Acoustic Tomography of the Atmosphere Using Unscented Kalman Filter

Mahmood R. Azimi-Sadjadi, Soheil Kolouri, Astrid Ziemann, 2012, IEEE Transactions on Geoscience and Remote Sensing.

SAR automatic target recognition with less labels

Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, 2020, Defense + Commercial Sensing.

Lifelong Learning with Sketched Structural Regularization pdf

Vladimir Braverman, Soheil Kolouri, Praveen K. Pilly, 2021, ACML.

S PARSITY AND H ETEROGENEOUS D ROPOUT FOR C ONTINUAL L EARNING IN THE N ULL S PACE OF N EURAL A CTIVATIONS

H. Pirsiavash, V. Braverman, S. Kolouri, 2022 .

Lifelong Reinforcement Learning with Modulating Masks

Praveen K. Pilly, A. Soltoggio, S. Kolouri, 2022, ArXiv.

Zero Shot Learning via Multi-scale Manifold Regularization

Yuri Owechko, Stefano Soatto, Kyungnam Kim, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Wasserstein Embedding for Graph Learning pdf

Navid Naderializadeh, Gustavo K. Rohde, Soheil Kolouri, 2020, ICLR.

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks pdf

Mohammad Rostami, Heiko Hoffmann, Soheil Kolouri, 2018, ArXiv.

Joint Dictionaries for Zero-Shot Learning

Mohammad Rostami, Yuri Owechko, Kyungnam Kim, 2017, AAAI.

Explaining Distributed Neural Activations via Unsupervised Learning

Heiko Hoffmann, Soheil Kolouri, Charles E. Martin, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Predicting Out-of-Distribution Error with Confidence Optimal Transport

K. Sycara, S. Kolouri, Yuzhe Lu, 2023, arXiv.org.

Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes]

Gustavo K. Rohde, Soheil Kolouri, Xuwang Yin, 2020, IEEE Signal Processing Magazine.

Sliced Optimal Partial Transport

Bernhard Schmitzer, S. Kolouri, Yikun Bai, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification

S. Kolouri, Xinran Liu, Ashkan Shahbazi, 2023, ArXiv.

Linear Optimal Partial Transport Embedding

Rocio Diaz Martin, S. Kolouri, Yikun Bai, 2023, ICML.

SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings

S. Kolouri, Yuzhe Lu, Xinran Liu, 2021, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Set Representation Learning with Generalized Sliced-Wasserstein Embeddings

Joseph F. Comer, Reed W. Andrews, S. Kolouri, 2021, ArXiv.