ML Anthology

Hayase, Tomohiro

3 publications

ICML 2024 Understanding MLP-Mixer as a Wide and Sparse MLP Tomohiro Hayase, Ryo Karakida
ICML 2023 Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa
AISTATS 2021 The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry Tomohiro Hayase, Ryo Karakida