Maxim Kodryan

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Tensor Decomposition

Scale Invariance

Top Venues

Publications

Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov
MARS: Masked Automatic Ranks Selection in Tensor Decompositions. AISTATS (2023)
Ekaterina Lobacheva, Eduard Pockonechnyy, Maxim Kodryan, Dmitry P. Vetrov
Large Learning Rates Improve Generalization: But How Large Are We Talking About? CoRR (2023)
Maxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov, Dmitry P. Vetrov
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes. CoRR (2022)
Maxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov, Dmitry P. Vetrov
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes. NeurIPS (2022)
Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. NeurIPS (2021)
Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. CoRR (2021)
Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry P. Vetrov
On Power Laws in Deep Ensembles. NeurIPS (2020)
Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov
MARS: Masked Automatic Ranks Selection in Tensor Decompositions. CoRR (2020)
Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry P. Vetrov
On Power Laws in Deep Ensembles. CoRR (2020)
Maxim Kodryan, Artem M. Grachev, Dmitry I. Ignatov, Dmitry P. Vetrov
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks. RepL4NLP@ACL (2019)