Publications
Masanori Koyama
Neural Fourier Transform: A General Approach to Equivariant Representation Learning
ICLR 2024
By : Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
Neural Fourier Transform: A General Approach to Equivariant Representation Learning
ICLR 2024
Machine Learning / Deep Learning
By : Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
Unsupervised Learning of Equivariant Structure from Sequence
NeurIPS 2022
Machine Learning / Deep Learning
By : Takeru Miyato, Masanori Koyama, Kenji Fukumizu
Reconnaissance for Reinforcement Learning with Safety Constraints
ECML2021
By : Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan
IJCV 2020
Machine Learning / Deep Learning
By : Masaki Saito, Shunta Saito, Masanori Koyama, Sosuke Kobayashi
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
NeurIPS 2019
Machine Learning / Deep Learning
By : Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama
Robustness to Adversarial Perturbations in Learning from Incomplete Data
NeurIPS 2019
Machine Learning / Deep Learning
By : Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning
ICML2019
By : Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama
Spectral Normalization for Generative Adversarial Networks
ICLR 2018
Machine Learning / Deep Learning
By : Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida
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