Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents. - Tomohiro Hayase (CoRR, 2018)

Selective Forgetting of Deep Networks at a Finer Level than Samples. - Tomohiro Hayase; Suguru Yasutomi; Takashi Katoh (CoRR, 2020)

The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry. - Tomohiro Hayase; Ryo Karakida (AISTATS, 2021)

Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization. - Shohei Kubota; Hideaki Hayashi; Tomohiro Hayase; Seiichi Uchida (ICASSP, 2021)

Viewpoint Planning of Projector Placement for Spatial Augmented Reality using Star-Kernel Decomposition. - Takefumi Hiraki; Tomohiro Hayase; Yuichi Ike; Takashi Tsuboi; Michio Yoshiwaki (VR Workshops, 2021)

Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case. - Benoit Collins; Tomohiro Hayase (CoRR, 2021)

Downstream Augmentation Generation For Contrastive Learning. - Tomohiro Hayase; Suguru Yasutomi; Nakamasa Inoue (ICASSP, 2022)

Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias. - Ryo Karakida; Tomoumi Takase; Tomohiro Hayase; Kazuki Osawa (ICML, 2023)

MLP-Mixer as a Wide and Sparse MLP. - Tomohiro Hayase; Ryo Karakida (CoRR, 2023)

Understanding MLP-Mixer as a wide and sparse MLP. - Tomohiro Hayase; Ryo Karakida (ICML, 2024)

PanoTree: Autonomous Photo-Spot Explorer in Virtual Reality Scenes. - Tomohiro Hayase; Braun Sacha; Hikari Yanagawa; Itsuki Orito; Yuichi Hiroi (CoRR, 2024)

Cluster Haptic Texture Database: Haptic Texture Database with Variety in Velocity and Direction of Sliding Contacts. - Michikuni Eguchi; Madoka Ito; Tomohiro Hayase; Yuichi Hiroi; Takefumi Hiraki (CoRR, 2024)

Free Random Projection for In-Context Reinforcement Learning. - Tomohiro Hayase; Benoit Collins; Nakamasa Inoue (CoRR, 2025)