Bayesian Methods Research Group

from Bremen, Germany

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Maxim Kodryan

Academic Title: PhD Teams: moscow-team

Recent Publications

  • Where Do Large Learning Rates Lead Us? (2024) NeurIPS 2024
  • Where Do Large Learning Rates Lead Us? A Feature Learning Perspective (2024) ICML Workshop 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)
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