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 | 200 | 2019 |
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 | 67 | 2021 |
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 | 67 | 2021 |
Continuous wasserstein-2 barycenter estimation without minimax optimization A Korotin, L Li, J Solomon, E Burnaev The 9th International Conference on Learning Representations (ICLR 2021), 2021 | 45 | 2021 |
Continuous regularized wasserstein barycenters L Li, A Genevay, M Yurochkin, JM Solomon Advances in Neural Information Processing Systems 33, 17755-17765, 2020 | 45 | 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 | 22 | 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 | 19 | 2021 |
Self-consistent velocity matching of probability flows L Li, S Hurault, JM Solomon Advances in Neural Information Processing Systems 36, 57038--57057, 2024 | 9 | 2024 |
Sampling with mollified interaction energy descent L Li, Q Liu, A Korba, M Yurochkin, J Solomon The 11th International Conference on Learning Representations (ICLR 2023), 2022 | 9 | 2022 |
Learning proximal operators to discover multiple optima L Li, N Aigerman, VG Kim, J Li, K Greenewald, M Yurochkin, J Solomon The 11th International Conference on Learning Representations (ICLR 2023), 2022 | 1 | 2022 |
Debiased Distribution Compression L Li, R Dwivedi, L Mackey arXiv preprint arXiv:2404.12290, 2024 | | 2024 |