| Three-particle electron-hole complexes in two-dimensional electron systems VA Kuznetsov, LV Kulik, MD Velikanov, AS Zhuravlev, AV Gorbunov, ... Physical Review B 98 (20), 205303, 2018 | 26 | 2018 |
| Explicit loss asymptotics in the gradient descent training of neural networks M Velikanov, D Yarotsky Advances in Neural Information Processing Systems 34, 2570-2582, 2021 | 16* | 2021 |
| A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta M Velikanov, D Kuznedelev, D Yarotsky arXiv preprint arXiv:2206.11124, 2022 | 4 | 2022 |
| Tight convergence rate bounds for optimization under power law spectral conditions M Velikanov, D Yarotsky Journal of Machine Learning Research 25 (81), 1-78, 2024 | 1 | 2024 |
| Embedded Ensembles: infinite width limit and operating regimes M Velikanov, RV Kail, I Anokhin, R Vashurin, M Panov, A Zaytsev, ... International Conference on Artificial Intelligence and Statistics, 3138-3163, 2022 | 1 | 2022 |
| Efficient Conformal Prediction under Data Heterogeneity V Plassier, N Kotelevskii, A Rubashevskii, F Noskov, M Velikanov, ... International Conference on Artificial Intelligence and Statistics, 4879-4887, 2024 | | 2024 |
| Generalization error of spectral algorithms M Velikanov, M Panov, D Yarotsky arXiv preprint arXiv:2403.11696, 2024 | | 2024 |
| Proton fraction in neutron star matter: dynamical mean-field approach M Velikanov, AN Rubtsov, B Krippa New Journal of Physics 23 (3), 033015, 2021 | | 2021 |
| Tight Convergence Rate Bounds for First Order Optimization Under Power Law Spectral Conditions M Velikanov, D Yarotsky | | |
| Insights into neutron star cores from the theory of correlated quantum materials M Velikanov | | |
Dmitry YarotskySkolkovo Institute of Science and Technology, MoscowVerified email at skoltech.ru
