| 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 | 237 | 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 | 85 | 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 | 77 | 2021 |
| Continuous regularized wasserstein barycenters L Li, A Genevay, M Yurochkin, JM Solomon Advances in Neural Information Processing Systems 33, 17755-17765, 2020 | 58 | 2020 |
| 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 | 53 | 2021 |
| Wasserstein iterative networks for barycenter estimation A Korotin, V Egiazarian, L Li, E Burnaev Advances in Neural Information Processing Systems 35, 15672-15686, 2022 | 31 | 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 | 23 | 2021 |
| 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 | 18 | 2022 |
| Self-consistent velocity matching of probability flows L Li, S Hurault, JM Solomon Advances in Neural Information Processing Systems 36, 57038--57057, 2024 | 13 | 2024 |
| Debiased Distribution Compression L Li, R Dwivedi, L Mackey 2024 International Conference on Machine Learning (ICML 2024), 2024 | 2 | 2024 |
| 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 | 2 | 2022 |
| Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise R Burgert, Y Xu, W Xian, O Pilarski, P Clausen, M He, L Ma, Y Deng, L Li, ... arXiv preprint arXiv:2501.08331, 2025 | | 2025 |
| Infinite-Resolution Integral Noise Warping for Diffusion Models Y Deng, W Lin, L Li, D Smirnov, R Burgert, N Yu, V Dedun, MH Taghavi arXiv preprint arXiv:2411.01212, 2024 | | 2024 |
| Scalable Methodologies for Optimizing Over Probability Distributions L Li Massachusetts Institute of Technology, 2024 | | 2024 |
Justin SolomonMIT確認したメール アドレス: mit.edu