| 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 | 68 | 2021 |
| Neural optimal transport with general cost functionals A Asadulaev, A Korotin, V Egiazarian, P Mokrov, E Burnaev The 12th International Conference on Learning Representations (ICLR 2024), 2024 | 25 | 2024 |
| Energy-guided entropic neural optimal transport P Mokrov, A Korotin, A Kolesov, N Gushchin, E Burnaev The 12th International Conference on Learning Representations (ICLR 2024), 2024 | 9 | 2024 |
| Building the bridge of schrödinger: A continuous entropic optimal transport benchmark N Gushchin, A Kolesov, P Mokrov, P Karpikova, A Spiridonov, E Burnaev, ... Advances in Neural Information Processing Systems 36, 18932-18963, 2023 | 7 | 2023 |
| Energy-Guided Continuous Entropic Barycenter Estimation for General Costs A Kolesov, P Mokrov, I Udovichenko, M Gazdieva, G Pammer, E Burnaev, ... arXiv preprint arXiv:2310.01105, 2023 | 1 | 2023 |
| Estimating Barycenters of Distributions with Neural Optimal Transport A Kolesov, P Mokrov, I Udovichenko, M Gazdieva, G Pammer, E Burnaev, ... arXiv preprint arXiv:2402.03828, 2024 | | 2024 |
| Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem X Aramayo Carrasco, M Nekrashevich, P Mokrov, E Burnaev, A Korotin arXiv e-prints, arXiv: 2303.05978, 2023 | | 2023 |
| Wasserstein gradient flows: modeling and applications P Mokrov | | 2022 |
| Speeding up the two-stage simultaneous traffic assignment model EV Kotlyarova, PA Severilov, YP Ivchenkov, PV Mokrov, MO Chekanov, ... Компьютерные исследования и моделирование 14 (2), 343-355, 2022 | | 2022 |
Alexander KorotinSkoltech, AIRI在 skoltech.ru 的电子邮件经过验证
