Soheil Kolouri

According to our database, Soheil Kolouri authored at least 86 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition.

Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer

CoRR, 2024

One Category One Prompt: Dataset Distillation using Diffusion Models.

Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri

CoRR, 2024

Efficient Solvers for Partial Gromov-Wasserstein.

Yikun Bai, Rocio Diaz Martin, Hengrong Du, Ashkan Shahbazi, Soheil Kolouri

CoRR, 2024

Stereographic Spherical Sliced Wasserstein Distances.

Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri

CoRR, 2024

Teaching Networks to Solve Optimization Problems.

Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri

IEEE Access, 2024

SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings.

Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

A domain-agnostic approach for characterization of lifelong learning systems.

Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

Neural Networks, March, 2023

Multi-Agent Lifelong Implicit Neural Learning.

Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash

IEEE Signal Process. Lett., 2023

CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation.

Ali Abbasi, Chayne Thrash, Elaheh Akbari, Daniel Zhang, Soheil Kolouri

CoRR, 2023

BrainWash: A Poisoning Attack to Forget in Continual Learning.

Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri

CoRR, 2023

LCOT: Linear circular optimal transport.

Rocio Diaz Martin, Ivan Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo K. Rohde, Soheil Kolouri

CoRR, 2023

NOLA: Networks as Linear Combination of Low Rank Random Basis.

Soroush Abbasi Koohpayegani, KL Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

CoRR, 2023

Partial Transport for Point-Cloud Registration.

Yikun Bai, Huy Tran, Steven B. Damelin, Soheil Kolouri

CoRR, 2023

PTL^p: Partial Transport L^p Distances.

Xinran Liu, Yikun Bai, Huy Tran, Zhanqi Zhu, Matthew Thorpe, Soheil Kolouri

CoRR, 2023

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

Ashkan Shahbazi, Abihith Kothapalli, Xinran Liu, Robert Sheng, Soheil Kolouri

CoRR, 2023

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

Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Christos Peridis, Pawel Ladosz, Jeffery Dick, Praveen K. Pilly, Soheil Kolouri

CoRR, 2023

Predicting Out-of-Distribution Error with Confidence Optimal Transport.

Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara

CoRR, 2023

Learning to Solve Optimization Problems With Hard Linear Constraints.

Meiyi Li, Soheil Kolouri, Javad Mohammadi

IEEE Access, 2023

Characterizing Out-of-Distribution Error via Optimal Transport.

Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Linear optimal partial transport embedding.

Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Muhammad Shahroz Khan, Soheil Kolouri

Proceedings of the International Conference on Machine Learning, 2023

PRANC: Pseudo RAndom Networks for Compacting deep models.

Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri

Proceedings of the IEEE International Conference on Acoustics, 2023

Sliced Optimal Partial Transport.

Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks.

Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture.

Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio

IEEE Trans. Neural Networks Learn. Syst., 2022

Biological underpinnings for lifelong learning machines.

Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann

Nat. Mach. Intell., 2022

Lifelong Reinforcement Learning with Modulating Masks.

Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio

CoRR, 2022

Wasserstein Task Embedding for Measuring Task Similarities.

Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri

CoRR, 2022

PRANC: Pseudo RAndom Networks for Compacting deep models.

Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash

CoRR, 2022

Generalized Sliced Probability Metrics.

Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli

Proceedings of the IEEE International Conference on Acoustics, 2022

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

Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Radon Cumulative Distribution Transform Subspace Modeling for Image Classification.

Mohammad Shifat-E.-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde

J. Math. Imaging Vis., 2021

Set Representation Learning with Generalized Sliced-Wasserstein Embeddings.

Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann

CoRR, 2021

Pooling by Sliced-Wasserstein Embedding.

Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Wasserstein Embedding for Graph Learning.

Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann

Proceedings of the 9th International Conference on Learning Representations, 2021

Lifelong Learning with Sketched Structural Regularization.

Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman

Proceedings of the Asian Conference on Machine Learning, 2021

2020

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

Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde

IEEE Signal Process. Mag., 2020

Neuromodulated attention and goal-driven perception in uncertain domains.

Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar

Neural Networks, 2020

Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments.

Jeffery Dick, Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Hideyasu Shimadzu, Peter Kinnell, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio

Frontiers Neurorobotics, 2020

Generalized Sliced Distances for Probability Distributions.

Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour

CoRR, 2020

Statistical and Topological Properties of Sliced Probability Divergences.

Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde

Proceedings of the 8th International Conference on Learning Representations, 2020

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations.

Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly

Proceedings of the 8th International Conference on Learning Representations, 2020

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs.

Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generative Continual Concept Learning.

Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Transfer Learning for Few-Shot SAR Image Classification.

Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim

Remote. Sens., 2019

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture.

Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio

CoRR, 2019

Neural Networks, Hypersurfaces, and Radon Transforms.

Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde

CoRR, 2019

Zero-Shot Image Classification Using Coupled Dictionary Embedding.

Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim

CoRR, 2019

Divide-and-Conquer Adversarial Detection.

Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde

CoRR, 2019

On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees.

Shahin Shahrampour, Soheil Kolouri

CoRR, 2019

Attention-Based Structural-Plasticity.

Soheil Kolouri, Nicholas Ketz, Xinyun Zou, Jeffrey L. Krichmar, Praveen K. Pilly

CoRR, 2019

Using World Models for Pseudo-Rehearsal in Continual Learning.

Nicholas Ketz, Soheil Kolouri, Praveen K. Pilly

CoRR, 2019

Neuromodulated Goal-Driven Perception in Uncertain Domains.

Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar

CoRR, 2019

Generalized Sliced Wasserstein Distances.

Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Collaborative Learning Through Shared Collective Knowledge and Local Expertise.

Javad Mohammadi, Soheil Kolouri

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay.

Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Sliced Wasserstein Auto-Encoders.

Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Explainability Methods for Graph Convolutional Neural Networks.

Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Discovery and visualization of structural biomarkers from MRI using transport-based morphometry.

Shinjini Kundu, Soheil Kolouri, Kirk I. Erickson, Arthur F. Kramer, Edward McAuley, Gustavo K. Rohde

NeuroImage, 2018

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks.

Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann

CoRR, 2018

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model.

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

CoRR, 2018

Image to Image Translation for Domain Adaptation.

Zak Murez, Soheil Kolouri, David J. Kriegman, Ravi Ramamoorthi, Kyungnam Kim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Sliced Wasserstein Distance for Learning Gaussian Mixture Models.

Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition.

Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Joint Dictionaries for Zero-Shot Learning.

Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Optimal Mass Transport: Signal processing and machine-learning applications.

Soheil Kolouri, Se Rim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde

IEEE Signal Process. Mag., 2017

A Transportation L^p Distance for Signal Analysis.

Matthew Thorpe, Serim Park, Soheil Kolouri, Gustavo K. Rohde, Dejan Slepcev

J. Math. Imaging Vis., 2017

Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis.

Amir M. Rahimi, Soheil Kolouri, Rajan Bhattacharyya

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Explaining Distributed Neural Activations via Unsupervised Learning.

Soheil Kolouri, Charles E. Martin, Heiko Hoffmann

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Zero Shot Learning via Multi-scale Manifold Regularization.

Shay Deutsch, Soheil Kolouri, Kyungnam Kim, Yuri Owechko, Stefano Soatto

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

The Radon Cumulative Distribution Transform and Its Application to Image Classification.

Soheil Kolouri, Se Rim Park, Gustavo K. Rohde

IEEE Trans. Image Process., 2016

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

Soheil Kolouri, Akif Burak Tosun, John A. Ozolek, Gustavo K. Rohde

Pattern Recognit., 2016

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

Soheil Kolouri, Serim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde

CoRR, 2016

Sliced Wasserstein Kernels for Probability Distributions.

Soheil Kolouri, Yang Zou, Gustavo K. Rohde

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

The Cumulative Distribution Transform and Linear Pattern Classification.

Se Rim Park, Soheil Kolouri, Shinjini Kundu, Gustavo K. Rohde

CoRR, 2015

A symmetric deformation-based similarity measure for shape analysis.

Soheil Kolouri, Dejan Slepcev, Gustavo K. Rohde

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

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

Soheil Kolouri, Gustavo K. Rohde

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Acoustic Tomography of the Atmosphere Using Unscented Kalman Filter.

Soheil Kolouri, Mahmood R. Azimi-Sadjadi, Astrid Ziemann

IEEE Trans. Geosci. Remote. Sens., 2014

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

John A. Ozolek, Akif Burak Tosun, Wei Wang, Cheng Chen, Soheil Kolouri, Saurav Basu, Hu Huang, Gustavo K. Rohde

Medical Image Anal., 2014

Quantifying and visualizing variations in sets of images using continuous linear optimal transport.

Soheil Kolouri, Gustavo K. Rohde

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Novel computer-aided diagnosis of mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens.

Akif Burak Tosun, Oleksandr Yergiyev, Soheil Kolouri, Jan F. Silverman, Gustavo K. Rohde

Proceedings of the Medical Imaging 2014: Digital Pathology, 2014

Learning and visualizing statistical relationships between protein distributions from microscopy images.

Soheil Kolouri, Saurav Basu, Gustavo K. Rohde

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2012

Acoustic tomography of the atmosphere using unscented Kalman filter.

Soheil Kolouri, Mahmood R. Azimi-Sadjadi

Proceedings of the 20th European Signal Processing Conference, 2012