Kolouri, Soheil

41 publications

ICML 2025 ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans Ashkan Shahbazi, Elaheh Akbari, Darian Salehi, Xinran Liu, Navid Naderializadeh, Soheil Kolouri

ICLR 2025 Expected Sliced Transport Plans Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri

ICLR 2025 Linear Partial Gromov-Wasserstein Embedding Yikun Bai, Abihith Kothapalli, Hengrong Du, Rocio Diaz Martin, Soheil Kolouri

ICLR 2025 Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data Xinran Liu, Yikun Bai, Rocio Diaz Martin, Kaiwen Shi, Ashkan Shahbazi, Bennett Allan Landman, Catie Chang, Soheil Kolouri

ICLR 2025 MCNC: Manifold-Constrained Reparameterization for Neural Compression Chayne Thrash, Reed Andreas, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Hamed Pirsiavash, Soheil Kolouri

ICLR 2025 Partial Gromov-Wasserstein Metric Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli, Hengrong Du, Xinran Liu, Soheil Kolouri

CVPR 2024 BrainWash: A Poisoning Attack to Forget in Continual Learning Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri

ICMLW 2024 Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Robert Sheng, Soheil Kolouri

ICLR 2024 LCOT: Linear Circular Optimal Transport Rocio P Diaz Martin, Ivan Vladimir Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo Rohde, Soheil Kolouri

ICLR 2024 NOLA: Compressing LoRA Using Linear Combination of Random Basis Soroush Abbasi Koohpayegani, K L Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

NeurIPS 2024 NeuroBOLT: Resting-State EEG-to-fMRI Synthesis with Multi-Dimensional Feature Mapping Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang

WACV 2024 SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri

CoLLAs 2024 Statistical Context Detection for Deep Lifelong Reinforcement Learning Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Soheil Kolouri, Andrea Soltoggio

ICML 2024 Stereographic Spherical Sliced Wasserstein Distances Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio P Diaz Martin, Soheil Kolouri

NeurIPS 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 P. Campbell, Katia Sycara

NeurIPSW 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 Sycara

TMLR 2023 Lifelong Reinforcement Learning with Modulating Masks Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen Kumar Pilly, Soheil Kolouri, Andrea Soltoggio

ICML 2023 Linear Optimal Partial Transport Embedding Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Shahroz, Soheil Kolouri

ICCV 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

NeurIPSW 2023 PTLP: Partial Transport $L^p$ Distances Xinran Liu, Yikun Bai, Huy Tran, Zhanqi Zhu, Matthew Thorpe, Soheil Kolouri

ICLRW 2023 Predicting Out-of-Distribution Error with Confidence Optimal Transport Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara

CoLLAs 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

CVPR 2023 Sliced Optimal Partial Transport Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri

CoLLAs 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

ACML 2021 Lifelong Learning with Sketched Structural Regularization Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman

NeurIPS 2021 Pooling by Sliced-Wasserstein Embedding Navid Naderializadeh, Joseph F Comer, Reed Andrews, Heiko Hoffmann, Soheil Kolouri

ICLR 2021 Wasserstein Embedding for Graph Learning Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann

ICLR 2020 GAT: Generative Adversarial Training for Adversarial Example Detection and Classification Xuwang Yin, Soheil Kolouri, Gustavo K Rohde

AAAI 2020 Generative Continual Concept Learning Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland

ICLR 2020 Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly

NeurIPS 2020 Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli

IJCAI 2019 Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly

NeurIPS 2019 Generalized Sliced Wasserstein Distances Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo Rohde

CVPRW 2019 SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim

ICLR 2019 Sliced Wasserstein Auto-Encoders Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde

AAAI 2018 Joint Dictionaries for Zero-Shot Learning Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim

CVPRW 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

CVPRW 2017 Explaining Distributed Neural Activations via Unsupervised Learning Soheil Kolouri, Charles E. Martin, Heiko Hoffmann

CVPR 2017 Zero Shot Learning via Multi-Scale Manifold Regularization Shay Deutsch, Soheil Kolouri, Kyungnam Kim, Yuri Owechko, Stefano Soatto

CVPR 2016 Sliced Wasserstein Kernels for Probability Distributions Soheil Kolouri, Yang Zou, Gustavo K. Rohde

CVPR 2015 Transport-Based Single Frame Super Resolution of Very Low Resolution Face Images Soheil Kolouri, Gustavo K. Rohde