Tomohiro Hayase

17 papers A* 2A 1Misc 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Free Random Projection for In-Context Reinforcement Learning. CoRR Tomohiro Hayase, Benoit Collins, Nakamasa Inoue
2025	J	`jnl`	Gaussian Equivalence for Self-Attention: Asymptotic Spectral Analysis of Attention Matrix. CoRR Tomohiro Hayase, Benoit Collins, Ryo Karakida
2024	J	`jnl`	Cluster Haptic Texture Database: Haptic Texture Database with Variety in Velocity and Direction of Sliding Contacts. CoRR Michikuni Eguchi, Madoka Ito, Tomohiro Hayase, Yuichi Hiroi, Takefumi Hiraki
2024	J	`jnl`	PanoTree: Autonomous Photo-Spot Explorer in Virtual Reality Scenes. CoRR Tomohiro Hayase, Braun Sacha, Hikari Yanagawa, Itsuki Orito, Yuichi Hiroi
2024	A*	`conf`	Understanding MLP-Mixer as a wide and sparse MLP. ICML Tomohiro Hayase, Ryo Karakida
2023	J	`jnl`	MLP-Mixer as a Wide and Sparse MLP. CoRR Tomohiro Hayase, Ryo Karakida
2023	A*	`conf`	Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias. ICML Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa
2022	Misc	`conf`	Downstream Augmentation Generation For Contrastive Learning. ICASSP Tomohiro Hayase, Suguru Yasutomi, Nakamasa Inoue
2022	J	`jnl`	Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias. CoRR Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa
2021	J	`jnl`	Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case. CoRR Benoit Collins, Tomohiro Hayase
2021	J	`jnl`	Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization. CoRR Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida
2021	Misc	`conf`	Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization. ICASSP Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida
2021	A	`conf`	The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry. AISTATS Tomohiro Hayase, Ryo Karakida
2021	—	`conf`	Viewpoint Planning of Projector Placement for Spatial Augmented Reality using Star-Kernel Decomposition. VR Workshops Takefumi Hiraki, Tomohiro Hayase, Yuichi Ike, Takashi Tsuboi, Michio Yoshiwaki
2020	J	`jnl`	Selective Forgetting of Deep Networks at a Finer Level than Samples. CoRR Tomohiro Hayase, Suguru Yasutomi, Takashi Katoh
2020	J	`jnl`	The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry. CoRR Tomohiro Hayase, Ryo Karakida
2018	J	`jnl`	Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents. CoRR Tomohiro Hayase