| Wasserstein-2 Generative Networks A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev The 9th International Conference on Learning Representations (ICLR 2021), 2021 | 121 | 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 (NeurIPS 2021), 2021 | 85 | 2021 |
| Esports Athletes and Players: a Comparative Study N Khromov, A Korotin, A Lange, A Stepanov, E Burnaev, A Somov IEEE Pervasive Computing, 2018 | 83 | 2018 |
| Generative Modeling with Optimal Transport Maps L Rout, A Korotin, E Burnaev The 10th International Conference on Learning Representations (ICLR 2022), 2022 | 80 | 2022 |
| 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 (NeurIPS 2021), 2021 | 77 | 2021 |
| Neural optimal transport A Korotin, D Selikhanovych, E Burnaev The 11th International Conference on Learning Representations (ICLR 2023), 2023 | 58 | 2023 |
| 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 |
| Visual Fixations Duration as an Indicator of Skill Level in eSports BB Velichkovsky, N Khromov, A Korotin, E Burnaev, A Somov The 17th IFIP TC.13 International Conference on Human-Computer Interaction, 2019 | 39 | 2019 |
| Neural optimal transport with general cost functionals A Asadulaev, A Korotin, V Egiazarian, E Burnaev The 12th International Conference on Learning Representations (ICLR 2024), 2024 | 38 | 2024 |
| Manifold Topology Divergence: a Framework for Comparing Data Manifolds. S Barannikov, I Trofimov, G Sotnikov, E Trimbach, A Korotin, A Filippov, ... Advances in neural information processing systems 34 (NeurIPS 2021), 2021 | 33 | 2021 |
| Wasserstein iterative networks for barycenter estimation A Korotin, V Egiazarian, L Li, E Burnaev Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 31 | 2022 |
| Entropic neural optimal transport via diffusion processes N Gushchin, A Kolesov, A Korotin, D Vetrov, E Burnaev Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023 | 30 | 2023 |
| Analysis of video game players’ emotions and team performance: An esports tournament case study S Abramov, A Korotin, A Somov, E Burnaev, A Stepanov, D Nikolaev, ... IEEE Journal of Biomedical and Health Informatics 26 (8), 3597-3606, 2021 | 29 | 2021 |
| Meta-learning for resampling recommendation systems D Smolyakov, A Korotin, P Erofeev, A Papanov, E Burnaev Eleventh International Conference on Machine Vision (ICMV 2018) 11041, 110411S, 2019 | 28 | 2019 |
| Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? A Korotin, A Kolesov, E Burnaev Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 25 | 2022 |
| Kernel Neural Optimal Transport A Korotin, D Selikhanovych, E Burnaev The 11th International Conference on Learning Representations (ICLR 2023), 2023 | 23 | 2023 |
| An optimal transport perspective on unpaired image super-resolution M Gazdieva, L Rout, A Korotin, A Kravchenko, A Filippov, E Burnaev arXiv preprint arXiv:2202.01116, 2022 | 23* | 2022 |
| Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis A Korotin, N Khromov, A Stepanov, A Lange, E Burnaev, A Somov The 5th IEEE International Conference on Internet of People, 2019 | 22 | 2019 |
| Energy-guided Entropic Neural Optimal Transport P Mokrov, A Korotin, E Burnaev The 12th International Conference on Learning Representations (ICLR 2024), 2024 | 17 | 2024 |
| Light Schr\" odinger Bridge A Korotin, N Gushchin, E Burnaev The 12th International Conference on Learning Representations (ICLR 2024), 2024 | 14 | 2024 |
Evgeny BurnaevSkoltech, Full Professor, Head of Applied AI center, Head of research group, AIRIВерификована је имејл адреса на skoltech.ru