Soheil Kolouri

159 papers A* 33A 2B 1C 1Misc 2Journal 106Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Energy loss informed cell-based multilayer perceptron for solving elliptic PDEs with multiscale features. Comput. Math. Appl. Yuxiang Gao, Ravindra Duddu, Soheil Kolouri
2026	J	`jnl`	Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions. Artif. Intell. Rev. Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma
2026	A*	`conf`	Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling. AAAI Ashkan Shahbazi, Kyvia Pereira, Jon S. Heiselman, Elaheh Akbari, Annie C. Benson, Sepehr Seifi, Xinyuan Liu, Garrison Lawrence Horswill Johnston, Jie Ying Wu, Nabil Simaan, Michael I. Miga, Soheil Kolouri
2026	A*	`conf`	Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems. AAAI Saptarshi Nath, Christos Peridis, Eseoghene Benjamin, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, Andrea Soltoggio
2026	J	`jnl`	Sinkhorn-Drifting Generative Models. CoRR Ping He, Om Khangaonkar, Hamed Pirsiavash, Yikun Bai, Soheil Kolouri
2026	J	`jnl`	SurgFormer: Scalable Learning of Organ Deformation with Resection Support and Real-Time Inference. CoRR Ashkan Shahbazi, Elaheh Akbari, Kyvia Pereira, Jon S. Heiselman, Annie C. Benson, Garrison L. H. Johnston, Jie Ying Wu, Nabil Simaan, Michael I. Miga, Soheil Kolouri
2026	J	`jnl`	Vector-Quantized Soft Label Compression for Dataset Distillation. CoRR Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri
2026	J	`jnl`	Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression. CoRR Ali Abbasi, Chayne Thrash, Haoran Qin, Shansita D. Sharma, Sepehr Seifi, Soheil Kolouri
2025	J	`jnl`	Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts. CoRR Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, Andrea Soltoggio
2025	J	`jnl`	Constrained Sliced Wasserstein Embedding. CoRR Navid Naderializadeh, Darian Salehi, Xinran Liu, Soheil Kolouri
2025	J	`jnl`	EMPEROR: Efficient Moment-Preserving Representation of Distributions. CoRR Xinran Liu, Shansita D. Sharma, Soheil Kolouri
2025	A*	`conf`	ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans. ICML Ashkan Shahbazi, Elaheh Akbari, Darian Salehi, Xinran Liu, Navid Naderializadeh, Soheil Kolouri
2025	J	`jnl`	ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans. CoRR Ashkan Shahbazi, Elaheh Akbari, Darian Salehi, Xinran Liu, Navid Naderializadeh, Soheil Kolouri
2025	J	`jnl`	Efficient Transferable Optimal Transport via Min-Sliced Transport Plans. CoRR Xinran Liu, Elaheh Akbari, Rocio Diaz Martin, Navid Naderializadeh, Soheil Kolouri
2025	A*	`conf`	Expected Sliced Transport Plans. ICLR Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri
2025	J	`jnl`	Fused Partial Gromov-Wasserstein for Structured Objects. CoRR Yikun Bai, Huy Tran, Hengrong Du, Xinran Liu, Soheil Kolouri
2025	J	`jnl`	Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions. CoRR Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma
2025	J	`jnl`	LOTFormer: Doubly-Stochastic Linear Attention via Low-Rank Optimal Transport. CoRR Ashkan Shahbazi, Chayne Thrash, Yikun Bai, Keaton Hamm, Navid Naderializadeh, Soheil Kolouri
2025	J	`jnl`	LUNA: Linear Universal Neural Attention with Generalization Guarantees. CoRR Ashkan Shahbazi, Ping He, Ali Abbasi, Yikun Bai, Xinran Liu, Elaheh Akbari, Darian Salehi, Navid Naderializadeh, Soheil Kolouri
2025	A*	`conf`	Linear Partial Gromov-Wasserstein Embedding. ICLR Yikun Bai, Abihith Kothapalli, Hengrong Du, Rocio Diaz Martin, Soheil Kolouri
2025	A*	`conf`	Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data. ICLR Xinran Liu, Yikun Bai, Rocio Diaz Martin, Kaiwen Shi, Ashkan Shahbazi, Bennett Allan Landman, Catie Chang, Soheil Kolouri
2025	J	`jnl`	Low-Rank Prehab: Preparing Neural Networks for SVD Compression. CoRR Haoran Qin, Shansita D. Sharma, Ali Abbasi, Chayne Thrash, Soheil Kolouri
2025	A*	`conf`	MCNC: Manifold-Constrained Reparameterization for Neural Compression. ICLR Chayne Thrash, Reed Andreas, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Hamed Pirsiavash, Soheil Kolouri
2025	J	`jnl`	Neural-Augmented Kelvinlet: Real-Time Soft Tissue Deformation with Multiple Graspers. CoRR Ashkan Shahbazi, Kyvia Pereira, Jon S. Heiselman, Elaheh Akbari, Annie C. Benson, Sepehr Seifi, Xinyuan Liu, Garrison L. H. Johnston, Erwin Terpstra, Anne Draaisma, Jan-Jaap Severes, Jie Ying Wu, Nabil Simaan, Michael I. Miga, Soheil Kolouri
2025	A*	`conf`	Partial Gromov-Wasserstein Metric. ICLR Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli, Hengrong Du, Xinran Liu, Soheil Kolouri
2025	J	`jnl`	Transport Based Mean Flows for Generative Modeling. CoRR Elaheh Akbari, Ping He, Ahmadreza Moradipari, Yikun Bai, Soheil Kolouri
2025	J	`jnl`	Wasserstein task embedding for measuring task similarities. Neural Networks Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri
2025	J	`jnl`	Zero-shot prompt-based video encoder for surgical gesture recognition. Int. J. Comput. Assist. Radiol. Surg. Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer
2024	J	`jnl`	A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
2024	A*	`conf`	BrainWash: A Poisoning Attack to Forget in Continual Learning. CVPR Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri
2024	J	`jnl`	Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation. CoRR Ali Abbasi, Shima Imani, Chenyang An, Gayathri Mahalingam, Harsh Shrivastava, Maurice Diesendruck, Hamed Pirsiavash, Pramod Sharma, Soheil Kolouri
2024	J	`jnl`	Efficient Solvers for Partial Gromov-Wasserstein. CoRR Yikun Bai, Rocio Diaz Martin, Hengrong Du, Ashkan Shahbazi, Soheil Kolouri
2024	—	`conf`	Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification. GRaM Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Robert Sheng, Soheil Kolouri
2024	J	`jnl`	Expected Sliced Transport Plans. CoRR Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri
2024	A*	`conf`	LCOT: Linear Circular Optimal Transport. ICLR Rocio Diaz Martin, Ivan Vladimir Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo K. Rohde, Soheil Kolouri
2024	J	`jnl`	Linear Partial Gromov-Wasserstein Embedding. CoRR Yikun Bai, Abihith Kothapalli, Hengrong Du, Rocio Diaz Martin, Soheil Kolouri
2024	J	`jnl`	Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data. CoRR Xinran Liu, Yikun Bai, Rocio Diaz Martin, Kaiwen Shi, Ashkan Shahbazi, Bennett A. Landman, Catie Chang, Soheil Kolouri
2024	J	`jnl`	MCNC: Manifold Constrained Network Compression. CoRR Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri
2024	A*	`conf`	NOLA: Compressing LoRA using Linear Combination of Random Basis. ICLR Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
2024	A*	`conf`	NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping. NeurIPS Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang
2024	J	`jnl`	NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping. CoRR Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang
2024	J	`jnl`	One Category One Prompt: Dataset Distillation using Diffusion Models. CoRR Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri
2024	J	`jnl`	Physics informed cell representations for variational formulation of multiscale problems. CoRR Yuxiang Gao, Soheil Kolouri, Ravindra Duddu
2024	A	`conf`	SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. WACV Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri
2024	—	`conf`	Statistical Context Detection for Deep Lifelong Reinforcement Learning. CoLLAs Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Soheil Kolouri, Andrea Soltoggio
2024	J	`jnl`	Statistical Context Detection for Deep Lifelong Reinforcement Learning. CoRR Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Soheil Kolouri, Andrea Soltoggio
2024	A*	`conf`	Stereographic Spherical Sliced Wasserstein Distances. ICML Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri
2024	J	`jnl`	Stereographic Spherical Sliced Wasserstein Distances. CoRR Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri
2024	J	`jnl`	Teaching Networks to Solve Optimization Problems. IEEE Access Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri
2024	J	`jnl`	Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices. CoRR Huy Tran, Yikun Bai, Ashkan Shahbazi, John R. Hershey, Soheil Kolouri
2024	J	`jnl`	Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition. CoRR Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR 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 Dimitri 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
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 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
2023	J	`jnl`	BrainWash: A Poisoning Attack to Forget in Continual Learning. CoRR Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri
2023	A*	`conf`	Characterizing Out-of-Distribution Error via Optimal Transport. NeurIPS Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
2023	J	`jnl`	Characterizing Out-of-Distribution Error via Optimal Transport. CoRR Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
2023	J	`jnl`	CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation. CoRR Ali Abbasi, Chayne Thrash, Elaheh Akbari, Daniel Zhang, Soheil Kolouri
2023	J	`jnl`	Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification. CoRR Ashkan Shahbazi, Abihith Kothapalli, Xinran Liu, Robert Sheng, Soheil Kolouri
2023	Misc	`conf`	Is Multi-Task Learning an Upper Bound for Continual Learning? ICASSP Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri
2023	J	`jnl`	LCOT: Linear circular optimal transport. CoRR Rocio Diaz Martin, Ivan Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo K. Rohde, Soheil Kolouri
2023	J	`jnl`	Learning to Solve Optimization Problems With Hard Linear Constraints. IEEE Access Meiyi Li, Soheil Kolouri, Javad Mohammadi
2023	J	`jnl`	Lifelong Reinforcement Learning with Modulating Masks. Trans. Mach. Learn. Res. Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio
2023	J	`jnl`	Linear Optimal Partial Transport Embedding. CoRR Yikun Bai, Ivan Medri, Rocio Diaz Martin, Rana Muhammad Shahroz Khan, Soheil Kolouri
2023	A*	`conf`	Linear optimal partial transport embedding. ICML Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Muhammad Shahroz Khan, Soheil Kolouri
2023	J	`jnl`	Multi-Agent Lifelong Implicit Neural Learning. IEEE Signal Process. Lett. Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash
2023	J	`jnl`	NOLA: Networks as Linear Combination of Low Rank Random Basis. CoRR Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
2023	A*	`conf`	PRANC: Pseudo RAndom Networks for Compacting deep models. ICCV Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash
2023	J	`jnl`	PTL CoRR Xinran Liu, Yikun Bai, Huy Tran, Zhanqi Zhu, Matthew Thorpe, Soheil Kolouri
2023	J	`jnl`	Partial Transport for Point-Cloud Registration. CoRR Yikun Bai, Huy Tran, Steven B. Damelin, Soheil Kolouri
2023	J	`jnl`	Predicting Out-of-Distribution Error with Confidence Optimal Transport. CoRR Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara
2023	—	`conf`	Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks. CoLLAs Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio
2023	J	`jnl`	Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks. CoRR Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio
2023	A*	`conf`	Sliced Optimal Partial Transport. CVPR Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri
2023	J	`jnl`	The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning. CoRR Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Christos Peridis, Pawel Ladosz, Jeffery Dick, Praveen K. Pilly, Soheil Kolouri
2022	J	`jnl`	Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 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
2022	J	`jnl`	Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. IEEE Trans. Neural Networks Learn. Syst. Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio
2022	Misc	`conf`	Generalized Sliced Probability Metrics. ICASSP Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli
2022	J	`jnl`	Is Multi-Task Learning an Upper Bound for Continual Learning? CoRR Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri
2022	J	`jnl`	Learning to Solve Optimization Problems with Hard Linear Constraints. CoRR Meiyi Li, Soheil Kolouri, Javad Mohammadi
2022	J	`jnl`	Lifelong Reinforcement Learning with Modulating Masks. CoRR Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio
2022	J	`jnl`	PRANC: Pseudo RAndom Networks for Compacting deep models. CoRR Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash
2022	J	`jnl`	Sliced Optimal Partial Transport. CoRR Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri
2022	—	`conf`	Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoLLAs Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri
2022	J	`jnl`	Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoRR Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri
2022	J	`jnl`	Teaching Networks to Solve Optimization Problems. CoRR Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri
2022	J	`jnl`	Wasserstein Task Embedding for Measuring Task Similarities. CoRR Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri
2021	C	`conf`	Lifelong Learning with Sketched Structural Regularization. ACML Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman
2021	J	`jnl`	Lifelong Learning with Sketched Structural Regularization. CoRR Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman
2021	A*	`conf`	Pooling by Sliced-Wasserstein Embedding. NeurIPS Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri
2021	J	`jnl`	Radon Cumulative Distribution Transform Subspace Modeling for Image Classification. J. Math. Imaging Vis. Mohammad Shifat-E.-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde
2021	J	`jnl`	SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings. CoRR Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri
2021	J	`jnl`	Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. CoRR Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann
2021	A*	`conf`	Wasserstein Embedding for Graph Learning. ICLR Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
2020	J	`jnl`	Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments. Frontiers Neurorobotics Jeffery Dick, Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Hideyasu Shimadzu, Peter Kinnell, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio
2020	A*	`conf`	GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification. ICLR Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde
2020	J	`jnl`	Generalized Sliced Distances for Probability Distributions. CoRR Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour
2020	A*	`conf`	Generative Continual Concept Learning. AAAI Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland
2020	J	`jnl`	Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes]. IEEE Signal Process. Mag. Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde
2020	J	`jnl`	Neuromodulated attention and goal-driven perception in uncertain domains. Neural Networks Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar
2020	J	`jnl`	Radon cumulative distribution transform subspace modeling for image classification. CoRR Mohammad Shifat-E.-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde
2020	A*	`conf`	Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. ICLR Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly
2020	A*	`conf`	Statistical and Topological Properties of Sliced Probability Divergences. NeurIPS Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
2020	J	`jnl`	Statistical and Topological Properties of Sliced Probability Divergences. CoRR Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
2020	A*	`conf`	Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CVPR Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
2020	J	`jnl`	Wasserstein Embedding for Graph Learning. CoRR Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
2019	J	`jnl`	Attention-Based Structural-Plasticity. CoRR Soheil Kolouri, Nicholas Ketz, Xinyun Zou, Jeffrey L. Krichmar, Praveen K. Pilly
2019	—	`conf`	Collaborative Learning Through Shared Collective Knowledge and Local Expertise. MLSP Javad Mohammadi, Soheil Kolouri
2019	A*	`conf`	Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. IJCAI Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
2019	J	`jnl`	Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. CoRR Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
2019	J	`jnl`	Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. CoRR Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio
2019	J	`jnl`	Deep Transfer Learning for Few-Shot SAR Image Classification. Remote. Sens. Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim
2019	J	`jnl`	Divide-and-Conquer Adversarial Detection. CoRR Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde
2019	A*	`conf`	Explainability Methods for Graph Convolutional Neural Networks. CVPR Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
2019	A*	`conf`	Generalized Sliced Wasserstein Distances. NeurIPS Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde
2019	J	`jnl`	Generalized Sliced Wasserstein Distances. CoRR Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde
2019	J	`jnl`	Generative Continual Concept Learning. CoRR Mohammad Rostami, Soheil Kolouri, James L. McClelland, Praveen K. Pilly
2019	—	`conf`	Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. Allerton Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim
2019	J	`jnl`	Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. CoRR Alex Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim
2019	J	`jnl`	Neural Networks, Hypersurfaces, and Radon Transforms. CoRR Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde
2019	J	`jnl`	Neuromodulated Goal-Driven Perception in Uncertain Domains. CoRR Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar
2019	J	`jnl`	On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees. CoRR Shahin Shahrampour, Soheil Kolouri
2019	—	`conf`	SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. CVPR Workshops Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim
2019	—	`conf`	Sliced Wasserstein Auto-Encoders. ICLR (Poster) Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde
2019	J	`jnl`	Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CoRR Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
2019	J	`jnl`	Using World Models for Pseudo-Rehearsal in Continual Learning. CoRR Nicholas Ketz, Soheil Kolouri, Praveen K. Pilly
2019	J	`jnl`	Zero-Shot Image Classification Using Coupled Dictionary Embedding. CoRR Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim
2018	J	`jnl`	Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
2018	J	`jnl`	Discovery and visualization of structural biomarkers from MRI using transport-based morphometry. NeuroImage Shinjini Kundu, Soheil Kolouri, Kirk I. Erickson, Arthur F. Kramer, Edward McAuley, Gustavo K. Rohde
2018	A*	`conf`	Image to Image Translation for Domain Adaptation. CVPR Zak Murez, Soheil Kolouri, David J. Kriegman, Ravi Ramamoorthi, Kyungnam Kim
2018	A*	`conf`	Joint Dictionaries for Zero-Shot Learning. AAAI Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim
2018	A	`conf`	Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. AAMAS Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton
2018	A*	`conf`	Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CVPR Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
2018	J	`jnl`	Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model. CoRR Soheil Kolouri, Charles E. Martin, Gustavo K. Rohde
2017	J	`jnl`	A Transportation L J. Math. Imaging Vis. Matthew Thorpe, Serim Park, Soheil Kolouri, Gustavo K. Rohde, Dejan Slepcev
2017	—	`conf`	Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis. CVPR Workshops Amir M. Rahimi, Soheil Kolouri, Rajan Bhattacharyya
2017	J	`jnl`	Discovery and visualization of structural biomarkers from MRI using transport-based morphometry. CoRR Shinjini Kundu, Soheil Kolouri, Kirk I. Erickson, Arthur F. Kramer, Edward McAuley, Gustavo K. Rohde
2017	—	`conf`	Explaining Distributed Neural Activations via Unsupervised Learning. CVPR Workshops Soheil Kolouri, Charles E. Martin, Heiko Hoffmann
2017	J	`jnl`	Image to Image Translation for Domain Adaptation. CoRR Zak Murez, Soheil Kolouri, David J. Kriegman, Ravi Ramamoorthi, Kyungnam Kim
2017	J	`jnl`	Joint Dictionaries for Zero-Shot Learning. CoRR Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim
2017	J	`jnl`	Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. CoRR Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton
2017	J	`jnl`	Optimal Mass Transport: Signal processing and machine-learning applications. IEEE Signal Process. Mag. Soheil Kolouri, Se Rim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde
2017	J	`jnl`	Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CoRR Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
2017	A*	`conf`	Zero Shot Learning via Multi-scale Manifold Regularization. CVPR Shay Deutsch, Soheil Kolouri, Kyungnam Kim, Yuri Owechko, Stefano Soatto
2016	J	`jnl`	A Transportation L CoRR Matthew Thorpe, Serim Park, Soheil Kolouri, Gustavo K. Rohde, Dejan Slepcev
2016	J	`jnl`	A continuous linear optimal transport approach for pattern analysis in image datasets. Pattern Recognit. Soheil Kolouri, Akif Burak Tosun, John A. Ozolek, Gustavo K. Rohde
2016	A*	`conf`	Sliced Wasserstein Kernels for Probability Distributions. CVPR Soheil Kolouri, Yang Zou, Gustavo K. Rohde
2016	J	`jnl`	The Radon Cumulative Distribution Transform and Its Application to Image Classification. IEEE Trans. Image Process. Soheil Kolouri, Se Rim Park, Gustavo K. Rohde
2016	J	`jnl`	Transport-based analysis, modeling, and learning from signal and data distributions. CoRR Soheil Kolouri, Serim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde
2015	—	`conf`	A symmetric deformation-based similarity measure for shape analysis. ISBI Soheil Kolouri, Dejan Slepcev, Gustavo K. Rohde
2015	J	`jnl`	Sliced Wasserstein Kernels for Probability Distributions. CoRR Soheil Kolouri, Yang Zou, Gustavo K. Rohde
2015	J	`jnl`	The Cumulative Distribution Transform and Linear Pattern Classification. CoRR Se Rim Park, Soheil Kolouri, Shinjini Kundu, Gustavo K. Rohde
2015	J	`jnl`	The Radon cumulative distribution transform and its application to image classification. CoRR Soheil Kolouri, Se Rim Park, Gustavo K. Rohde
2015	A*	`conf`	Transport-based single frame super resolution of very low resolution face images. CVPR Soheil Kolouri, Gustavo K. Rohde
2014	J	`jnl`	Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning. Medical Image Anal. John A. Ozolek, Akif Burak Tosun, Wei Wang, Cheng Chen, Soheil Kolouri, Saurav Basu, Hu Huang, Gustavo K. Rohde
2014	J	`jnl`	Acoustic Tomography of the Atmosphere Using Unscented Kalman Filter. IEEE Trans. Geosci. Remote. Sens. Soheil Kolouri, Mahmood R. Azimi-Sadjadi, Astrid Ziemann
2014	—	`conf`	Learning and visualizing statistical relationships between protein distributions from microscopy images. ISBI Soheil Kolouri, Saurav Basu, Gustavo K. Rohde
2014	—	`conf`	Novel computer-aided diagnosis of mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens. Digital Pathology Akif Burak Tosun, Oleksandr Yergiyev, Soheil Kolouri, Jan F. Silverman, Gustavo K. Rohde
2014	B	`conf`	Quantifying and visualizing variations in sets of images using continuous linear optimal transport. Image Processing Soheil Kolouri, Gustavo K. Rohde
2012	—	`conf`	Acoustic tomography of the atmosphere using unscented Kalman filter. EUSIPCO Soheil Kolouri, Mahmood R. Azimi-Sadjadi