Kodryan, Maxim

7 publications

NeurIPS 2024 Where Do Large Learning Rates Lead Us? Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechny, Ekaterina Lobacheva, Dmitry Vetrov

ICMLW 2024 Where Do Large Learning Rates Lead Us? a Feature Learning Perspective Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechny, Ekaterina Lobacheva, Dmitry Vetrov

NeurIPSW 2023 Large Learning Rates Improve Generalization: But How Large Are We Talking About? Ekaterina Lobacheva, Eduard Pokonechny, Maxim Kodryan, Dmitry Vetrov

AISTATS 2023 MARS: Masked Automatic Ranks Selection in Tensor Decompositions Maxim Kodryan, Dmitry Kropotov, Dmitry Vetrov

NeurIPS 2022 Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes Maxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov, Dmitry P Vetrov

NeurIPS 2021 On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P Vetrov

NeurIPS 2020 On Power Laws in Deep Ensembles Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry P Vetrov