| Near Optimal Methods for Minimizing Convex Functions with Lipschitz -th Derivatives A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ... Conference on Learning Theory, 1392-1393, 2019 | 80 | 2019 |
| Neural optimal transport A Korotin, D Selikhanovych, E Burnaev arXiv preprint arXiv:2201.12220, 2022 | 65 | 2022 |
| Optimal tensor methods in smooth convex and uniformly convexoptimization A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ... Conference on Learning Theory, 1374-1391, 2019 | 52 | 2019 |
| The global rate of convergence for optimal tensor methods in smooth convex optimization A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ... arXiv preprint arXiv:1809.00382, 2018 | 24 | 2018 |
| Kernel neural optimal transport A Korotin, D Selikhanovych, E Burnaev arXiv preprint arXiv:2205.15269, 2022 | 14 | 2022 |
| Extremal domain translation with neural optimal transport M Gazdieva, A Korotin, D Selikhanovych, E Burnaev Advances in Neural Information Processing Systems 36, 40381-40413, 2023 | 5 | 2023 |
| Ex2MCMC: Sampling through Exploration Exploitation E Lagutin, D Selikhanovych, A Thin, S Samsonov, A Naumov, ... stat, 2022 | 2 | 2022 |
| A3D: Does Diffusion Dream about 3D Alignment? S Ignatyev, N Konovalova, D Selikhanovych, N Patakin, O Voynov, ... arXiv preprint arXiv:2406.15020, 2024 | | 2024 |
| Adversarial Schr\" odinger Bridge Matching N Gushchin, D Selikhanovych, S Kholkin, E Burnaev, A Korotin arXiv preprint arXiv:2405.14449, 2024 | | 2024 |
| NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion S Ignatyev, D Selikhanovych, O Voynov, Y Wang, P Wonka, ... arXiv preprint arXiv:2312.04654, 2023 | | 2023 |
| DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution I Koshelev, D Selikhanovych, S Lefkimmiatis arXiv preprint arXiv:2112.05505, 2021 | | 2021 |
