| Wasserstein-2 generative networks A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev The 9th International Conference on Learning Representations (ICLR 2021), 2019 | 81 | 2019 |
| Esports Athletes and Players: a Comparative Study N Khromov, A Korotin, A Lange, A Stepanov, E Burnaev, A Somov IEEE Pervasive Computing, 2018 | 66 | 2018 |
| 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 | 51 | 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 | 49 | 2021 |
| Generative Modeling with Optimal Transport Maps L Rout, A Korotin, E Burnaev The 10th International Conference on Learning Representations (ICLR 2022), 2022 | 48 | 2022 |
| Neural optimal transport A Korotin, D Selikhanovych, E Burnaev The 11th International Conference on Learning Representations (ICLR 2023), 2022 | 43 | 2022 |
| 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 | 39 | 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 | 25 | 2019 |
| 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 | 25 | 2019 |
| Neural optimal transport with general cost functionals A Asadulaev, A Korotin, V Egiazarian, P Mokrov, E Burnaev arXiv preprint arXiv:2205.15403, 2022 | 21 | 2022 |
| An optimal transport perspective on unpaired image super-resolution M Gazdieva, L Rout, A Korotin, A Kravchenko, A Filippov, E Burnaev | 17 | 2022 |
| Wasserstein iterative networks for barycenter estimation A Korotin, V Egiazarian, L Li, E Burnaev Advances in Neural Information Processing Systems 35, 2022 | 17 | 2022 |
| 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, 7294-7305, 2021 | 16 | 2021 |
| 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 | 14 | 2019 |
| Kernel Neural Optimal Transport A Korotin, D Selikhanovych, E Burnaev The 11th International Conference on Learning Representations (ICLR 2023), 2022 | 13 | 2022 |
| Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? A Korotin, A Kolesov, E Burnaev Advances in Neural Information Processing Systems 35, 2022 | 12 | 2022 |
| 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 | 11 | 2021 |
| Entropic neural optimal transport via diffusion processes N Gushchin, A Kolesov, A Korotin, D Vetrov, E Burnaev arXiv preprint arXiv:2211.01156, 2022 | 10 | 2022 |
| Sensors and Game Synchronization for Data Analysis in eSports A Stepanov, A Lange, N Khromov, A Korotin, E Burnaev, A Somov IEEE International Conference on Industrial Informatics, 2019 | 10 | 2019 |
| Adaptive Hedging under Delayed Feedback A Korotin, V V'yugin, E Burnaev Neurocomputing, 2019 | 10 | 2019 |
Evgeny BurnaevSkoltech, Full Professor, Head of Applied AI center, Head of research group, AIRIVerified email at skoltech.ru
