Tomohiro Hayase

According to our database, Tomohiro Hayase authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

PanoTree: Autonomous Photo-Spot Explorer in Virtual Reality Scenes.

Tomohiro Hayase, Braun Sacha, Hikari Yanagawa, Itsuki Orito, Yuichi Hiroi

CoRR, 2024

Understanding MLP-Mixer as a wide and sparse MLP.

Tomohiro Hayase, Ryo Karakida

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

MLP-Mixer as a Wide and Sparse MLP.

Tomohiro Hayase, Ryo Karakida

CoRR, 2023

Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias.

Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa

Proceedings of the International Conference on Machine Learning, 2023

2022

Downstream Augmentation Generation For Contrastive Learning.

Tomohiro Hayase, Suguru Yasutomi, Nakamasa Inoue

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case.

Benoit Collins, Tomohiro Hayase

CoRR, 2021

Viewpoint Planning of Projector Placement for Spatial Augmented Reality using Star-Kernel Decomposition.

Takefumi Hiraki, Tomohiro Hayase, Yuichi Ike, Takashi Tsuboi, Michio Yoshiwaki

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization.

Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida

Proceedings of the IEEE International Conference on Acoustics, 2021

The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry.

Tomohiro Hayase, Ryo Karakida

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Selective Forgetting of Deep Networks at a Finer Level than Samples.

Tomohiro Hayase, Suguru Yasutomi, Takashi Katoh

CoRR, 2020

2018

Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents.

Tomohiro Hayase

CoRR, 2018