| Supervised fitting of geometric primitives to 3d point clouds L Li, M Sung, A Dubrovina, L Yi, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 159 | 2019 |
| Large-scale wasserstein gradient flows P Mokrov, A Korotin, L Li, A Genevay, JM Solomon, E Burnaev Advances in Neural Information Processing Systems 34, 15243-15256, 2021 | 39 | 2021 |
| Do neural optimal transport solvers work? a continuous wasserstein-2 benchmark A Korotin, L Li, A Genevay, JM Solomon, A Filippov, E Burnaev Advances in Neural Information Processing Systems 34, 14593-14605, 2021 | 38 | 2021 |
| Continuous wasserstein-2 barycenter estimation without minimax optimization A Korotin, L Li, J Solomon, E Burnaev arXiv preprint arXiv:2102.01752, 2021 | 36 | 2021 |
| Continuous regularized wasserstein barycenters L Li, A Genevay, M Yurochkin, JM Solomon Advances in Neural Information Processing Systems 33, 17755-17765, 2020 | 35 | 2020 |
| Wasserstein iterative networks for barycenter estimation A Korotin, V Egiazarian, L Li, E Burnaev Advances in Neural Information Processing Systems 35, 15672-15686, 2022 | 14 | 2022 |
| Interactive all-hex meshing via cuboid decomposition L Li, P Zhang, D Smirnov, SM Abulnaga, J Solomon ACM Transactions on Graphics (TOG) 40 (6), 1-17, 2021 | 13 | 2021 |
| Self-consistent velocity matching of probability flows L Li, S Hurault, J Solomon arXiv preprint arXiv:2301.13737, 2023 | 4 | 2023 |
| Sampling with Mollified Interaction Energy Descent L Li, Q Liu, A Korba, M Yurochkin, J Solomon arXiv preprint arXiv:2210.13400, 2022 | 1 | 2022 |
| Learning proximal operators to discover multiple optima L Li, N Aigerman, VG Kim, J Li, K Greenewald, M Yurochkin, J Solomon arXiv preprint arXiv:2201.11945, 2022 | 1 | 2022 |
Justin SolomonMITVerified email at mit.edu
