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2020 – today
- 2025
[j21]Xinran Liu, Yikun Bai
, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri:
Wasserstein task embedding for measuring task similarities. Neural Networks 181: 106796 (2025)- 2024
- [j20]Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri:
Teaching Networks to Solve Optimization Problems. IEEE Access 12: 17102-17113 (2024) - [j19]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:
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6(3): 251-264 (2024) - [c42]Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri:
BrainWash: A Poisoning Attack to Forget in Continual Learning. CVPR 2024: 24057-24066 - [c41]Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash:
NOLA: Compressing LoRA using Linear Combination of Random Basis. ICLR 2024 - [c40]Rocio Diaz Martin, Ivan Vladimir Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo K. Rohde, Soheil Kolouri:
LCOT: Linear Circular Optimal Transport. ICLR 2024 - [c39]Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri:
Stereographic Spherical Sliced Wasserstein Distances. ICML 2024 - [c38]Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri:
SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. WACV 2024: 2554-2564 - [i63]Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri:
Stereographic Spherical Sliced Wasserstein Distances. CoRR abs/2402.02345 (2024) - [i62]Yikun Bai, Rocio Diaz Martin, Hengrong Du, Ashkan Shahbazi, Soheil Kolouri:
Efficient Solvers for Partial Gromov-Wasserstein. CoRR abs/2402.03664 (2024) - [i61]Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri:
One Category One Prompt: Dataset Distillation using Diffusion Models. CoRR abs/2403.07142 (2024) - [i60]Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer:
Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition. CoRR abs/2403.19786 (2024) - [i59]Yuxiang Gao, Soheil Kolouri, Ravindra Duddu:
Physics informed cell representations for variational formulation of multiscale problems. CoRR abs/2405.16770 (2024) - [i58]Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Soheil Kolouri, Andrea Soltoggio:
Statistical Context Detection for Deep Lifelong Reinforcement Learning. CoRR abs/2405.19047 (2024) - [i57]Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri:
MCNC: Manifold Constrained Network Compression. CoRR abs/2406.19301 (2024) - [i56]Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang:
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping. CoRR abs/2410.05341 (2024) - [i55]Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri:
Expected Sliced Transport Plans. CoRR abs/2410.12176 (2024) - [i54]Yikun Bai, Abihith Kothapalli, Hengrong Du, Rocio Diaz Martin, Soheil Kolouri:
Linear Partial Gromov-Wasserstein Embedding. CoRR abs/2410.16669 (2024) - 2023
- [j18]Meiyi Li, Soheil Kolouri, Javad Mohammadi:
Learning to Solve Optimization Problems With Hard Linear Constraints. IEEE Access 11: 59995-60004 (2023) - [j17]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:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [j16]Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash:
Multi-Agent Lifelong Implicit Neural Learning. IEEE Signal Process. Lett. 30: 1812-1816 (2023) - [j15]Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio:
Lifelong Reinforcement Learning with Modulating Masks. Trans. Mach. Learn. Res. 2023 (2023) - [c37]Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio:
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks. CoLLAs 2023: 936-960 - [c36]Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri:
Sliced Optimal Partial Transport. CVPR 2023: 13681-13690 - [c35]Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri:
Is Multi-Task Learning an Upper Bound for Continual Learning? ICASSP 2023: 1-5 - [c34]Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash:
PRANC: Pseudo RAndom Networks for Compacting deep models. ICCV 2023: 16975-16985 - [c33]Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Muhammad Shahroz Khan, Soheil Kolouri:
Linear optimal partial transport embedding. ICML 2023: 1492-1520 - [c32]Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara:
Characterizing Out-of-Distribution Error via Optimal Transport. NeurIPS 2023 - [i53]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:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i52]Yikun Bai, Ivan Medri, Rocio Diaz Martin, Rana Muhammad Shahroz Khan, Soheil Kolouri:
Linear Optimal Partial Transport Embedding. CoRR abs/2302.03232 (2023) - [i51]Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara:
Predicting Out-of-Distribution Error with Confidence Optimal Transport. CoRR abs/2302.05018 (2023) - [i50]Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Christos Peridis, Pawel Ladosz, Jeffery Dick, Praveen K. Pilly, Soheil Kolouri:
The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning. CoRR abs/2302.10887 (2023) - [i49]Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio:
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks. CoRR abs/2305.10997 (2023) - [i48]Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara:
Characterizing Out-of-Distribution Error via Optimal Transport. CoRR abs/2305.15640 (2023) - [i47]Ashkan Shahbazi, Abihith Kothapalli, Xinran Liu, Robert Sheng, Soheil Kolouri:
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification. CoRR abs/2306.05553 (2023) - [i46]Xinran Liu, Yikun Bai, Huy Tran, Zhanqi Zhu, Matthew Thorpe, Soheil Kolouri:
PTLp: Partial Transport Lp Distances. CoRR abs/2307.13571 (2023) - [i45]Yikun Bai, Huy Tran, Steven B. Damelin, Soheil Kolouri:
Partial Transport for Point-Cloud Registration. CoRR abs/2309.15787 (2023) - [i44]Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash:
NOLA: Networks as Linear Combination of Low Rank Random Basis. CoRR abs/2310.02556 (2023) - [i43]Rocio Diaz Martin, Ivan Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo K. Rohde, Soheil Kolouri:
LCOT: Linear circular optimal transport. CoRR abs/2310.06002 (2023) - [i42]Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri:
BrainWash: A Poisoning Attack to Forget in Continual Learning. CoRR abs/2311.11995 (2023) - [i41]Ali Abbasi, Chayne Thrash, Elaheh Akbari, Daniel Zhang, Soheil Kolouri:
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation. CoRR abs/2311.12999 (2023) - 2022
- [j14]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:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j13]Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2045-2056 (2022) - [c31]Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri:
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoLLAs 2022: 617-628 - [c30]Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli:
Generalized Sliced Probability Metrics. ICASSP 2022: 4513-4517 - [i40]Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri:
Teaching Networks to Solve Optimization Problems. CoRR abs/2202.04104 (2022) - [i39]Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri:
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoRR abs/2203.06514 (2022) - [i38]Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash:
PRANC: Pseudo RAndom Networks for Compacting deep models. CoRR abs/2206.08464 (2022) - [i37]Meiyi Li, Soheil Kolouri, Javad Mohammadi:
Learning to Solve Optimization Problems with Hard Linear Constraints. CoRR abs/2208.10611 (2022) - [i36]Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri:
Wasserstein Task Embedding for Measuring Task Similarities. CoRR abs/2208.11726 (2022) - [i35]Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri:
Is Multi-Task Learning an Upper Bound for Continual Learning? CoRR abs/2210.14797 (2022) - [i34]Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri:
Sliced Optimal Partial Transport. CoRR abs/2212.08049 (2022) - [i33]Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio:
Lifelong Reinforcement Learning with Modulating Masks. CoRR abs/2212.11110 (2022) - 2021
- [j12]Mohammad Shifat-E.-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde:
Radon Cumulative Distribution Transform Subspace Modeling for Image Classification. J. Math. Imaging Vis. 63(9): 1185-1203 (2021) - [c29]Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman:
Lifelong Learning with Sketched Structural Regularization. ACML 2021: 985-1000 - [c28]Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann:
Wasserstein Embedding for Graph Learning. ICLR 2021 - [c27]Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri:
Pooling by Sliced-Wasserstein Embedding. NeurIPS 2021: 3389-3400 - [i32]Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann:
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. CoRR abs/2103.03892 (2021) - [i31]Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman:
Lifelong Learning with Sketched Structural Regularization. CoRR abs/2104.08604 (2021) - [i30]Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri:
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings. CoRR abs/2112.05872 (2021) - 2020
- [j11]Jeffery Dick, Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Hideyasu Shimadzu, Peter Kinnell, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio:
Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments. Frontiers Neurorobotics 14: 578675 (2020) - [j10]Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar:
Neuromodulated attention and goal-driven perception in uncertain domains. Neural Networks 125: 56-69 (2020) - [j9]Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde:
Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes]. IEEE Signal Process. Mag. 37(4): 123-133 (2020) - [c26]Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland:
Generative Continual Concept Learning. AAAI 2020: 5545-5552 - [c25]Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann:
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CVPR 2020: 298-307 - [c24]Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly:
Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. ICLR 2020 - [c23]Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde:
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification. ICLR 2020 - [c22]Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli:
Statistical and Topological Properties of Sliced Probability Divergences. NeurIPS 2020 - [i29]Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour:
Generalized Sliced Distances for Probability Distributions. CoRR abs/2002.12537 (2020) - [i28]Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli:
Statistical and Topological Properties of Sliced Probability Divergences. CoRR abs/2003.05783 (2020) - [i27]Mohammad Shifat-E.-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde:
Radon cumulative distribution transform subspace modeling for image classification. CoRR abs/2004.03669 (2020) - [i26]Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann:
Wasserstein Embedding for Graph Learning. CoRR abs/2006.09430 (2020)
2010 – 2019
- 2019
- [j8]Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim:
Deep Transfer Learning for Few-Shot SAR Image Classification. Remote. Sens. 11(11): 1374 (2019) - [c21]Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim:
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. Allerton 2019: 352-359 - [c20]Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim:
SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. CVPR Workshops 2019: 907-915 - [c19]Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Explainability Methods for Graph Convolutional Neural Networks. CVPR 2019: 10772-10781 - [c18]Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde:
Sliced Wasserstein Auto-Encoders. ICLR (Poster) 2019 - [c17]Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly:
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. IJCAI 2019: 3339-3345 - [c16]Javad Mohammadi, Soheil Kolouri:
Collaborative Learning Through Shared Collective Knowledge and Local Expertise. MLSP 2019: 1-6 - [c15]Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde:
Generalized Sliced Wasserstein Distances. NeurIPS 2019: 261-272 - [i25]Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde:
Generalized Sliced Wasserstein Distances. CoRR abs/1902.00434 (2019) - [i24]Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar:
Neuromodulated Goal-Driven Perception in Uncertain Domains. CoRR abs/1903.00068 (2019) - [i23]Nicholas Ketz, Soheil Kolouri, Praveen K. Pilly:
Using World Models for Pseudo-Rehearsal in Continual Learning. CoRR abs/1903.02647 (2019) - [i22]Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly:
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. CoRR abs/1903.04566 (2019) - [i21]Soheil Kolouri, Nicholas Ketz, Xinyun Zou, Jeffrey L. Krichmar, Praveen K. Pilly:
Attention-Based Structural-Plasticity. CoRR abs/1903.06070 (2019) - [i20]Shahin Shahrampour, Soheil Kolouri:
On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees. CoRR abs/1903.08329 (2019) - [i19]Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde:
Divide-and-Conquer Adversarial Detection. CoRR abs/1905.11475 (2019) - [i18]Mohammad Rostami, Soheil Kolouri, James L. McClelland, Praveen K. Pilly:
Generative Continual Concept Learning. CoRR abs/1906.03744 (2019) - [i17]Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim:
Zero-Shot Image Classification Using Coupled Dictionary Embedding. CoRR abs/1906.10509 (2019) - [i16]Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann:
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CoRR abs/1906.10842 (2019) - [i15]Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde:
Neural Networks, Hypersurfaces, and Radon Transforms. CoRR abs/1907.02220 (2019) - [i14]Alex Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim:
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. CoRR abs/1907.02271 (2019) - [i13]Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. CoRR abs/1909.09902 (2019) - 2018
- [j7]Shinjini Kundu, Soheil Kolouri, Kirk I. Erickson, Arthur F. Kramer, Edward McAuley, Gustavo K. Rohde:
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry. NeuroImage 167: 256-275 (2018) - [c14]Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim:
Joint Dictionaries for Zero-Shot Learning. AAAI 2018: 3431-3439 - [c13]Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton:
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. AAMAS 2018: 712-720 - [c12]Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann:
Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CVPR 2018: 3427-3436 - [c11]Zak Murez, Soheil Kolouri, David J. Kriegman, Ravi Ramamoorthi, Kyungnam Kim:
Image to Image Translation for Domain Adaptation. CVPR 2018: 4500-4509 - [i12]Soheil Kolouri, Charles E. Martin, Gustavo K. Rohde:
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model. CoRR abs/1804.01947 (2018) - [i11]Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR abs/1812.00265 (2018) - 2017
- [j6]Matthew Thorpe, Serim Park, Soheil Kolouri, Gustavo K. Rohde, Dejan Slepcev:
A Transportation Lp Distance for Signal Analysis. J. Math. Imaging Vis. 59(2): 187-210 (2017) - [j5]Soheil Kolouri, Se Rim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde:
Optimal Mass Transport: Signal processing and machine-learning applications. IEEE Signal Process. Mag. 34(4): 43-59 (2017) - [c10]Amir M. Rahimi, Soheil Kolouri, Rajan Bhattacharyya:
Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis. CVPR Workshops 2017: 139-146 - [c9]Soheil Kolouri, Charles E. Martin, Heiko Hoffmann:
Explaining Distributed Neural Activations via Unsupervised Learning. CVPR Workshops 2017: 1670-1678 - [c8]Shay Deutsch, Soheil Kolouri, Kyungnam Kim, Yuri Owechko, Stefano Soatto:
Zero Shot Learning via Multi-scale Manifold Regularization. CVPR 2017: 5292-5299 - [i10]Shinjini Kundu, Soheil Kolouri, Kirk I. Erickson, Arthur F. Kramer, Edward McAuley, Gustavo K. Rohde:
Discovery and visualization of structural biomarkers from MRI using transport-based morphometry. CoRR abs/1705.04919 (2017) - [i9]Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim:
Joint Dictionaries for Zero-Shot Learning. CoRR abs/1709.03688 (2017) - [i8]Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton:
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. CoRR abs/1709.05412 (2017) - [i7]Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann:
Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CoRR abs/1711.05376 (2017) - [i6]Zak Murez, Soheil Kolouri, David J. Kriegman, Ravi Ramamoorthi, Kyungnam Kim:
Image to Image Translation for Domain Adaptation. CoRR abs/1712.00479 (2017) - 2016
- [j4]Soheil Kolouri, Akif Burak Tosun, John A. Ozolek, Gustavo K. Rohde:
A continuous linear optimal transport approach for pattern analysis in image datasets. Pattern Recognit. 51: 453-462 (2016) - [j3]Soheil Kolouri, Se Rim Park, Gustavo K. Rohde:
The Radon Cumulative Distribution Transform and Its Application to Image Classification. IEEE Trans. Image Process. 25(2): 920-934 (2016) - [c7]Soheil Kolouri, Yang Zou, Gustavo K. Rohde:
Sliced Wasserstein Kernels for Probability Distributions. CVPR 2016: 5258-5267 - [i5]Soheil Kolouri, Serim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde:
Transport-based analysis, modeling, and learning from signal and data distributions. CoRR abs/1609.04767 (2016) - [i4]Matthew Thorpe, Serim Park, Soheil Kolouri, Gustavo K. Rohde, Dejan Slepcev:
A Transportation Lp Distance for Signal Analysis. CoRR abs/1609.08669 (2016) - 2015
- [c6]Soheil Kolouri, Gustavo K. Rohde:
Transport-based single frame super resolution of very low resolution face images. CVPR 2015: 4876-4884 - [c5]Soheil Kolouri, Dejan Slepcev, Gustavo K. Rohde:
A symmetric deformation-based similarity measure for shape analysis. ISBI 2015: 314-318 - [i3]Se Rim Park, Soheil Kolouri, Shinjini Kundu, Gustavo K. Rohde:
The Cumulative Distribution Transform and Linear Pattern Classification. CoRR abs/1507.05936 (2015) - [i2]Soheil Kolouri, Yang Zou, Gustavo K. Rohde:
Sliced Wasserstein Kernels for Probability Distributions. CoRR abs/1511.03198 (2015) - [i1]Soheil Kolouri, Se Rim Park, Gustavo K. Rohde:
The Radon cumulative distribution transform and its application to image classification. CoRR abs/1511.03206 (2015) - 2014
- [j2]John A. Ozolek, Akif Burak Tosun, Wei Wang, Cheng Chen, Soheil Kolouri, Saurav Basu, Hu Huang, Gustavo K. Rohde:
Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning. Medical Image Anal. 18(5): 772-780 (2014) - [j1]Soheil Kolouri, Mahmood R. Azimi-Sadjadi, Astrid Ziemann:
Acoustic Tomography of the Atmosphere Using Unscented Kalman Filter. IEEE Trans. Geosci. Remote. Sens. 52(4): 2159-2171 (2014) - [c4]Soheil Kolouri, Saurav Basu, Gustavo K. Rohde:
Learning and visualizing statistical relationships between protein distributions from microscopy images. ISBI 2014: 381-384 - [c3]Akif Burak Tosun, Oleksandr Yergiyev, Soheil Kolouri, Jan F. Silverman, Gustavo K. Rohde:
Novel computer-aided diagnosis of mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens. Digital Pathology 2014: 90410Z - [c2]Soheil Kolouri, Gustavo K. Rohde:
Quantifying and visualizing variations in sets of images using continuous linear optimal transport. Image Processing 2014: 903438 - 2012
- [c1]Soheil Kolouri, Mahmood R. Azimi-Sadjadi:
Acoustic tomography of the atmosphere using unscented Kalman filter. EUSIPCO 2012: 2531-2535
Coauthor Index
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