| 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 | 83 | 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 | 33 | 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 | 13 | 2023 |
| 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 | 12 | 2024 |
| Optimal flow matching: Learning straight trajectories in just one step N Kornilov, P Mokrov, A Gasnikov, A Korotin arXiv preprint arXiv:2403.13117, 2024 | 4 | 2024 |
| 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 | 4 | 2024 |
| Energy-guided continuous entropic barycenter estimation for general costs A Kolesov, P Mokrov, I Udovichenko, M Gazdieva, G Pammer, A Kratsios, ... arXiv preprint arXiv:2310.01105, 2023 | 2 | 2023 |
| Robust barycenter estimation using semi-unbalanced neural optimal transport M Gazdieva, J Choi, A Kolesov, J Choi, P Mokrov, A Korotin arXiv preprint arXiv:2410.03974, 2024 | 1 | 2024 |
| 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 | 1 | 2022 |
| A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers R Tarasov, P Mokrov, M Gazdieva, E Burnaev, A Korotin arXiv preprint arXiv:2502.01310, 2025 | | 2025 |
| 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 |
Alexander KorotinSkoltech, AIRIVerified email at skoltech.ru
