| Wasserstein task embedding for measuring task similarities X Liu, Y Bai, Y Lu, A Soltoggio, S Kolouri Neural Networks 181, 106796, 2025 | 29 | 2025 |
| A collective AI via lifelong learning and sharing at the edge A Soltoggio, E Ben-Iwhiwhu, V Braverman, E Eaton, B Epstein, Y Ge, ... Nature Machine Intelligence 6 (3), 251-264, 2024 | 19 | 2024 |
| Teaching networks to solve optimization problems X Liu, Y Lu, A Abbasi, M Li, J Mohammadi, S Kolouri IEEE Access, 2024 | 11 | 2024 |
| Slosh: Set locality sensitive hashing via sliced-wasserstein embeddings Y Lu, X Liu, A Soltoggio, S Kolouri Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 10 | 2024 |
| Sharing lifelong reinforcement learning knowledge via modulating masks S Nath, C Peridis, E Ben-Iwhiwhu, X Liu, S Dora, C Liu, S Kolouri, ... Conference on Lifelong Learning Agents, 936-960, 2023 | 6 | 2023 |
| Stereographic spherical sliced wasserstein distances H Tran, Y Bai, A Kothapalli, A Shahbazi, X Liu, RD Martin, S Kolouri arXiv preprint arXiv:2402.02345, 2024 | 5 | 2024 |
| LCOT: Linear circular optimal transport RD Martin, I Medri, Y Bai, X Liu, K Yan, GK Rohde, S Kolouri arXiv preprint arXiv:2310.06002, 2023 | 4 | 2023 |
| PTLp: Partial Transport Lp Distances X Liu, Y Bai, H Tran, Z Zhu, M Thorpe, S Kolouri | 3 | 2023 |
| Expected sliced transport plans X Liu, RD Martín, Y Bai, A Shahbazi, M Thorpe, A Aldroubi, S Kolouri arXiv preprint arXiv:2410.12176, 2024 | 2 | 2024 |
| LCOT: Linear circular optimal transport R Diaz Martin, I Medri, Y Bai, X Liu, K Yan, GK Rohde, S Kolouri arXiv e-prints, arXiv: 2310.06002, 2023 | 1 | 2023 |
| Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification A Kothapalli, A Shahbazi, X Liu, R Sheng, S Kolouri arXiv preprint arXiv:2306.05553, 2023 | 1 | 2023 |
| Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data X Liu, Y Bai, RD Martín, K Shi, A Shahbazi, BA Landman, C Chang, ... arXiv preprint arXiv:2411.06055, 2024 | | 2024 |
| Partial Gromov Wasserstein Metric Y Bai, RD Martin, A Kothapalli, H Du, X Liu, S Kolouri | | 2024 |
| Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification A Kothapalli, A Shahbazi, X Liu, R Sheng, S Kolouri ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 0 | | |
Soheil KolouriComputer Science, Vanderbilt University, Nashville, TNZweryfikowany adres z vanderbilt.edu