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 | 54 | 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 | 50 | 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 | 15 | 2022 |
Extremal domain translation with neural optimal transport M Gazdieva, A Korotin, D Selikhanovych, E Burnaev Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Ex2MCMC: Sampling through Exploration Exploitation E Lagutin, D Selikhanovych, A Thin, S Samsonov, A Naumov, ... stat, 2022 | 2 | 2022 |
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 |