Follow the bisector: a simple method for multi-objective optimization A Katrutsa, D Merkulov, N Tursynbek, I Oseledets arXiv preprint arXiv:2007.06937, 2020 | 6 | 2020 |
A new multi-objective approach to optimize irrigation using a crop simulation model and weather history M Gasanov, D Merkulov, A Nikitin, S Matveev, N Stasenko, A Petrovskaia, ... International Conference on Computational Science, 75-88, 2021 | 5 | 2021 |
Empirical Study of Extreme Overfitting Points of Neural Networks D Merkulov, I Oseledets Journal of Communications Technology and Electronics 64 (12), 1527–1534, 2020 | 5 | 2020 |
Memory-efficient backpropagation through large linear layers D Bershatsky, A Mikhalev, A Katrutsa, J Gusak, D Merkulov, I Oseledets arXiv preprint arXiv:2201.13195, 2022 | 4 | 2022 |
Stochastic gradient algorithms from ODE splitting perspective D Merkulov, I Oseledets arXiv preprint arXiv:2004.08981, 2020 | 3 | 2020 |
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer V Leplat, D Merkulov, A Katrutsa, D Bershatsky, O Tsymboi, I Oseledets arXiv preprint arXiv:2209.14937, 2022 | 2 | 2022 |
Quantization of Large Language Models with an Overdetermined Basis D Merkulov, D Cherniuk, A Rudikov, I Oseledets, E Muravleva, A Mikhalev, ... arXiv preprint arXiv:2404.09737, 2024 | | 2024 |
Another approach to build Lyapunov functions for the first order methods in the quadratic case D Merkulov, I Oseledets arXiv preprint arXiv:2310.15880, 2023 | | 2023 |
Fast Line Search for Multi-Task Learning A Filatov, D Merkulov arXiv preprint arXiv:2110.00874, 2021 | | 2021 |
Об ускоренных методах поиска канонического тензорного разложения ДМ Меркулов, НК Тупица Труды МФТИ 12 (4), 61-71, 2020 | | 2020 |