Soheil Kolouri

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 109

Top Venues

Publications

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) (2024)
Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri
Stereographic Spherical Sliced Wasserstein Distances. CoRR (2024)
Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Soheil Kolouri, Andrea Soltoggio
Statistical Context Detection for Deep Lifelong Reinforcement Learning. CoRR (2024)
Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri
Teaching Networks to Solve Optimization Problems. IEEE Access 12 (2024)
Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri
MCNC: Manifold Constrained Network Compression. CoRR (2024)
Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri
SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. WACV (2024)
Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
NOLA: Compressing LoRA using Linear Combination of Random Basis. ICLR (2024)
Rocio Diaz Martin, Ivan Vladimir Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo K. Rohde, Soheil Kolouri
LCOT: Linear Circular Optimal Transport. ICLR (2024)
Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer
Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition. CoRR (2024)
Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri
One Category One Prompt: Dataset Distillation using Diffusion Models. CoRR (2024)
Yikun Bai, Rocio Diaz Martin, Hengrong Du, Ashkan Shahbazi, Soheil Kolouri
Efficient Solvers for Partial Gromov-Wasserstein. CoRR (2024)
Yuxiang Gao, Soheil Kolouri, Ravindra Duddu
Physics informed cell representations for variational formulation of multiscale problems. CoRR (2024)
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)
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 (2023)
Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio
Lifelong Reinforcement Learning with Modulating Masks. Trans. Mach. Learn. Res. 2023 (2023)
Xinran Liu, Yikun Bai, Huy Tran, Zhanqi Zhu, Matthew Thorpe, Soheil Kolouri
Distances. CoRR (2023)
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 L. 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 (2023)
Meiyi Li, Soheil Kolouri, Javad Mohammadi
Learning to Solve Optimization Problems With Hard Linear Constraints. IEEE Access 11 (2023)
Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri
Is Multi-Task Learning an Upper Bound for Continual Learning? ICASSP (2023)
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 L. 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 (2023)
Yikun Bai, Ivan Medri, Rocio Diaz Martin, Rana Muhammad Shahroz Khan, Soheil Kolouri
Linear Optimal Partial Transport Embedding. CoRR (2023)
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 (2023)
Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri
BrainWash: A Poisoning Attack to Forget in Continual Learning. CoRR (2023)
Ali Abbasi, Chayne Thrash, Elaheh Akbari, Daniel Zhang, Soheil Kolouri
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation. CoRR (2023)
Yikun Bai, Huy Tran, Steven B. Damelin, Soheil Kolouri
Partial Transport for Point-Cloud Registration. CoRR (2023)
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)
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 (2023)
Rocio Diaz Martin, Ivan Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo K. Rohde, Soheil Kolouri
LCOT: Linear circular optimal transport. CoRR (2023)
Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash
Multi-Agent Lifelong Implicit Neural Learning. IEEE Signal Process. Lett. 30 (2023)
Soroush Abbasi Koohpayegani, KL Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
NOLA: Networks as Linear Combination of Low Rank Random Basis. CoRR (2023)
Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Muhammad Shahroz Khan, Soheil Kolouri
Linear optimal partial transport embedding. ICML (2023)
Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara
Predicting Out-of-Distribution Error with Confidence Optimal Transport. CoRR (2023)
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 (2023)
Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri
Sliced Optimal Partial Transport. CVPR (2023)
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)
Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri
Sliced Optimal Partial Transport. CoRR (2022)
Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio
Lifelong Reinforcement Learning with Modulating Masks. CoRR (2022)
Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash
PRANC: Pseudo RAndom Networks for Compacting deep models. CoRR (2022)
Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri
Teaching Networks to Solve Optimization Problems. CoRR (2022)
Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri
Is Multi-Task Learning an Upper Bound for Continual Learning? CoRR (2022)
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)
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) (2022)
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 (2022)
Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri
Wasserstein Task Embedding for Measuring Task Similarities. CoRR (2022)
Meiyi Li, Soheil Kolouri, Javad Mohammadi
Learning to Solve Optimization Problems with Hard Linear Constraints. CoRR (2022)
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) (2022)
Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli
Generalized Sliced Probability Metrics. ICASSP (2022)
Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann, Soheil Kolouri
Pooling by Sliced-Wasserstein Embedding. NeurIPS (2021)
Navid Naderializadeh, Soheil Kolouri, Joseph F. Comer, Reed W. Andrews, Heiko Hoffmann
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. CoRR (2021)
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) (2021)
Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman
Lifelong Learning with Sketched Structural Regularization. CoRR (2021)
Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman
Lifelong Learning with Sketched Structural Regularization. ACML (2021)
Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings. CoRR (2021)
Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
Wasserstein Embedding for Graph Learning. ICLR (2021)
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 (2020)
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland
Generative Continual Concept Learning. AAAI (2020)
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
Statistical and Topological Properties of Sliced Probability Divergences. NeurIPS (2020)
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 (2020)
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour
Generalized Sliced Distances for Probability Distributions. CoRR (2020)
Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly
Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. ICLR (2020)
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
Statistical and Topological Properties of Sliced Probability Divergences. CoRR (2020)
Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde
Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes]. IEEE Signal Process. Mag. 37 (4) (2020)
Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CVPR (2020)
Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde, Heiko Hoffmann
Wasserstein Embedding for Graph Learning. CoRR (2020)
Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar
Neuromodulated attention and goal-driven perception in uncertain domains. Neural Networks 125 (2020)
Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification. ICLR (2020)
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)
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 (2019)
Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde
Divide-and-Conquer Adversarial Detection. CoRR (2019)
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. CoRR (2019)
Shahin Shahrampour, Soheil Kolouri
On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees. CoRR (2019)
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 (2019)
Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde
Neural Networks, Hypersurfaces, and Radon Transforms. CoRR (2019)
Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde
Sliced Wasserstein Auto-Encoders. ICLR (Poster) (2019)
Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar
Neuromodulated Goal-Driven Perception in Uncertain Domains. CoRR (2019)
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde
Generalized Sliced Wasserstein Distances. NeurIPS (2019)
Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CoRR (2019)
Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim
Deep Transfer Learning for Few-Shot SAR Image Classification. Remote. Sens. 11 (11) (2019)
Mohammad Rostami, Soheil Kolouri, James L. McClelland, Praveen K. Pilly
Generative Continual Concept Learning. CoRR (2019)
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. IJCAI (2019)
Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim
SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. CVPR Workshops (2019)
Soheil Kolouri, Nicholas Ketz, Xinyun Zou, Jeffrey L. Krichmar, Praveen K. Pilly
Attention-Based Structural-Plasticity. CoRR (2019)
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
Explainability Methods for Graph Convolutional Neural Networks. CVPR (2019)
Javad Mohammadi, Soheil Kolouri
Collaborative Learning Through Shared Collective Knowledge and Local Expertise. MLSP (2019)
Nicholas Ketz, Soheil Kolouri, Praveen K. Pilly
Using World Models for Pseudo-Rehearsal in Continual Learning. CoRR (2019)
Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim
Zero-Shot Image Classification Using Coupled Dictionary Embedding. CoRR (2019)
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde
Generalized Sliced Wasserstein Distances. CoRR (2019)
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 (2018)
Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. AAMAS (2018)
Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim
Joint Dictionaries for Zero-Shot Learning. AAAI (2018)
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CVPR (2018)
Zak Murez, Soheil Kolouri, David J. Kriegman, Ravi Ramamoorthi, Kyungnam Kim
Image to Image Translation for Domain Adaptation. CVPR (2018)
Soheil Kolouri, Charles E. Martin, Gustavo K. Rohde
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model. CoRR (2018)
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR (2018)
Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim
Joint Dictionaries for Zero-Shot Learning. CoRR (2017)
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) (2017)
Soheil Kolouri, Charles E. Martin, Heiko Hoffmann
Explaining Distributed Neural Activations via Unsupervised Learning. CVPR Workshops (2017)
Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Sliced Wasserstein Distance for Learning Gaussian Mixture Models. CoRR (2017)
Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. CoRR (2017)
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 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Soheil Kolouri