Soheil Kolouri
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
9
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems. | Saptarshi Nath, Christos Peridis, Eseoghene Benjamin, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, Andrea Soltoggio |
| 2026 | AAAI | Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling. | 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 |
| 2025 | ICLR | Linear Partial Gromov-Wasserstein Embedding. | Yikun Bai, Abihith Kothapalli, Hengrong Du, Rocio Diaz Martin, Soheil Kolouri |
| 2025 | ICLR | Partial Gromov-Wasserstein Metric. | Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli, Hengrong Du, Xinran Liu, Soheil Kolouri |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Expected Sliced Transport Plans. | Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri |
| 2025 | ICLR | MCNC: Manifold-Constrained Reparameterization for Neural Compression. | Chayne Thrash, Reed Andreas, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Hamed Pirsiavash, Soheil Kolouri |
| 2025 | ICML | ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans. | Ashkan Shahbazi, Elaheh Akbari, Darian Salehi, Xinran Liu, Navid NaderiAlizadeh, Soheil Kolouri |
| 2024 | CVPR | BrainWash: A Poisoning Attack to Forget in Continual Learning. | Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri |
| 2024 | ICLR | NOLA: Compressing LoRA using Linear Combination of Random Basis. | Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash |
| 2024 | ICLR | LCOT: Linear Circular Optimal Transport. | Rocio Diaz Martin, Ivan Vladimir Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo K. Rohde, Soheil Kolouri |
| 2024 | ICML | Stereographic Spherical Sliced Wasserstein Distances. | Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri |
| 2024 | WACV | SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. | Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri |
| 2023 | CVPR | Sliced Optimal Partial Transport. | Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri |
| 2023 | ICASSP | Is Multi-Task Learning an Upper Bound for Continual Learning? | Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri |
| 2023 | ICCV | 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 |
| 2023 | ICML | Linear optimal partial transport embedding. | Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Muhammad Shahroz Khan, Soheil Kolouri |
| 2022 | ICASSP | Generalized Sliced Probability Metrics. | Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli |
| 2021 | ACML | Lifelong Learning with Sketched Structural Regularization. | Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman |
| 2021 | ICLR | Wasserstein Embedding for Graph Learning. | Soheil Kolouri, Navid NaderiAlizadeh, Gustavo K. Rohde, Heiko Hoffmann |
| 2020 | AAAI | Generative Continual Concept Learning. | Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland |
| 2020 | CVPR | Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. | Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann |
| 2020 | ICLR | Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. | Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly |
| 2020 | ICLR | GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification. | Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde |
| 2019 | CVPR | Explainability Methods for Graph Convolutional Neural Networks. | Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann |
| 2019 | CVPR | SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. | Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim |
| 2019 | ICLR | Sliced Wasserstein Auto-Encoders. | Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde |
| 2019 | IJCAI | Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. | Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly |
| 2018 | AAAI | Joint Dictionaries for Zero-Shot Learning. | Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim |
| 2018 | CVPR | Sliced Wasserstein Distance for Learning Gaussian Mixture Models. | Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann |
| 2018 | CVPR | Image to Image Translation for Domain Adaptation. | Zak Murez, Soheil Kolouri, David J. Kriegman, Ravi Ramamoorthi, Kyungnam Kim |
| 2017 | CVPR | Zero Shot Learning via Multi-scale Manifold Regularization. | Shay Deutsch, Soheil Kolouri, Kyungnam Kim, Yuri Owechko, Stefano Soatto |
| 2017 | CVPR | Explaining Distributed Neural Activations via Unsupervised Learning. | Soheil Kolouri, Charles E. Martin, Heiko Hoffmann |
| 2017 | CVPR | 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 |
| 2016 | CVPR | Sliced Wasserstein Kernels for Probability Distributions. | Soheil Kolouri, Yang Zou, Gustavo K. Rohde |
| 2015 | CVPR | Transport-based single frame super resolution of very low resolution face images. | Soheil Kolouri, Gustavo K. Rohde |