| Esports Athletes and Players: a Comparative Study N Khromov, A Korotin, A Lange, A Stepanov, E Burnaev, A Somov IEEE Pervasive Computing, 2018 | 38 | 2018 |
| Wasserstein-2 generative networks A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev The 9th International Conference on Learning Representations (ICLR 2021), 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 | 19 | 2019 |
| 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 | 18 | 2019 |
| 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 | 11 | 2021 |
| Aggregating strategies for long-term forecasting A Korotin, V V'yugin, E Burnaev Proceedings of Machine Learning Research 91, 63-82, 2018 | 10 | 2018 |
| 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 | 9 | 2019 |
| Adaptive Hedging under Delayed Feedback A Korotin, V V'yugin, E Burnaev Neurocomputing, 2019 | 7 | 2019 |
| Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts A Korotin, V V’yugin, E Burnaev Pattern Recognition 120, 108175, 2021 | 6* | 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, 2021 | 5 | 2021 |
| 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, 2021 | 4 | 2021 |
| 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 | 4 | 2019 |
| Topological obstructions in neural networks learning S Barannikov, G Sotnikov, I Trofimov, A Korotin, E Burnaev arXiv preprint arXiv:2012.15834, 2020 | 3 | 2020 |
| Mixing past predictions A Korotin, V V’yugin, E Burnaev Conformal and Probabilistic Prediction and Applications, 171-188, 2020 | 2 | 2020 |
| Barcodes as summary of objective function's topology S Barannikov, A Korotin, D Oganesyan, D Emtsev, E Burnaev arXiv preprint arXiv:1912.00043, 2019 | 2* | 2019 |
| 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, 2021 | 1 | 2021 |
| Generative Modeling with Optimal Transport Maps L Rout, A Korotin, E Burnaev arXiv preprint arXiv:2110.02999, 2021 | 1 | 2021 |
| Online algorithm for aggregating experts’ predictions with unbounded quadratic loss AA Korotin, VV V’yugin, EV Burnaev Russian Mathematical Surveys 75 (5), 974, 2020 | 1 | 2020 |
| Unpaired Image Super-Resolution with Optimal Transport Maps M Gazdieva, L Rout, A Korotin, A Filippov, E Burnaev arXiv preprint arXiv:2202.01116, 2022 | | 2022 |
| Wasserstein Iterative Networks for Barycenter Estimation A Korotin, V Egiazarian, L Li, E Burnaev arXiv preprint arXiv:2201.12245, 2022 | | 2022 |
Evgeny BurnaevSkolkovo Institute of Science and TechnologyVerified email at skoltech.ru
