Wasserstein-2 generative networks A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev The 9th International Conference on Learning Representations (ICLR 2021), 2019 | 103 | 2019 |
Neural optimal transport A Korotin, D Selikhanovych, E Burnaev The 11th International Conference on Learning Representations (ICLR 2023), 2023 | 81 | 2023 |
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 | 79 | 2021 |
Esports Athletes and Players: a Comparative Study N Khromov, A Korotin, A Lange, A Stepanov, E Burnaev, A Somov IEEE Pervasive Computing, 2018 | 77 | 2018 |
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 | 74 | 2021 |
Generative Modeling with Optimal Transport Maps L Rout, A Korotin, E Burnaev The 10th International Conference on Learning Representations (ICLR 2022), 2022 | 73 | 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 | 47 | 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 | 37 | 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 | 30 | 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, 7294-7305, 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 |
Wasserstein iterative networks for barycenter estimation A Korotin, V Egiazarian, L Li, E Burnaev Advances in Neural Information Processing Systems 35, 2022 | 25 | 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, 2022 | 24 | 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 | 24 | 2021 |
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? A Korotin, A Kolesov, E Burnaev Advances in Neural Information Processing Systems 35, 2022 | 23 | 2022 |
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 | 20 | 2019 |
Kernel Neural Optimal Transport A Korotin, D Selikhanovych, E Burnaev The 11th International Conference on Learning Representations (ICLR 2023), 2023 | 16 | 2023 |
Energy-guided Entropic Neural Optimal Transport P Mokrov, A Korotin, E Burnaev The 12th International Conference on Learning Representations (ICLR 2024), 2024 | 13 | 2024 |
Building the Bridge of Schr\" odinger: 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, 2023 | 13 | 2023 |