Maxim Kodryan
Recent Publications
- Where Do Large Learning Rates Lead Us? (2024) NeurIPS 2024
- MARS: Masked Automatic Ranks Selection in Tensor Decompositions (2023) AISTATS 2023
- Large Learning Rates Improve Generalization: But How Large Are We Talking About? (2023) NeurIPS 2023 Workshop M3L
- Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes (2022) NeurIPS 2022
- On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay (2021) NeurIPS 2021
- On Power Laws in Deep Ensembles (2020) NeurIPS 2020
- On Power Laws in Deep Ensembles (2020)