Koyama, Masanori

15 publications

ICLR 2025 Flow Matching Achieves Almost Minimax Optimal Convergence Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko, Masanori Koyama

NeurIPS 2025 Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang, Kohei Hayashi, Kenji Fukumizu

ICLR 2024 Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato

ICMLW 2022 Learning Switchable Representation with Masked Decoding and Sparse Encoding Kohei Hayashi, Masanori Koyama

NeurIPS 2022 Unsupervised Learning of Equivariant Structure from Sequences Takeru Miyato, Masanori Koyama, Kenji Fukumizu

ECML-PKDD 2021 Reconnaissance for Reinforcement Learning with Safety Constraints Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan

ICML 2020 Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro

NeurIPS 2019 A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama

ICML 2019 A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama

ICLR 2019 Distributional Concavity Regularization for GANs Shoichiro Yamaguchi, Masanori Koyama

NeurIPS 2019 Robustness to Adversarial Perturbations in Learning from Incomplete Data Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato

ICLR 2018 Spectral Normalization for Generative Adversarial Networks Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida

ICLR 2018 cGANs with Projection Discriminator Takeru Miyato, Masanori Koyama

ICLR 2017 Synthetic Gradient Methods with Virtual Forward-Backward Networks Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama

ICLR 2016 Distributional Smoothing by Virtual Adversarial Examples Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii