Masanori Koyama

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 35

Top Topics

Unsupervised Learning

Regularization Method

Top Venues

Publications

Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
Neural Fourier Transform: A General Approach to Equivariant Representation Learning. ICLR (2024)
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko, Masanori Koyama
Flow matching achieves minimax optimal convergence. CoRR (2024)
Noboru Isobe, Masanori Koyama, Kohei Hayashi, Kenji Fukumizu
Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation. CoRR (2024)
Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
Neural Fourier Transform: A General Approach to Equivariant Representation Learning. CoRR (2023)
Takeru Miyato, Masanori Koyama, Kenji Fukumizu
Unsupervised Learning of Equivariant Structure from Sequences. CoRR (2022)
Takeru Miyato, Masanori Koyama, Kenji Fukumizu
Unsupervised Learning of Equivariant Structure from Sequences. NeurIPS (2022)
Masanori Koyama, Takeru Miyato, Kenji Fukumizu
Invariance-adapted decomposition and Lasso-type contrastive learning. CoRR (2022)
Masanori Koyama, Kentaro Minami, Takeru Miyato, Yarin Gal
Contrastive Representation Learning with Trainable Augmentation Channel. CoRR (2021)
Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan
Reconnaissance for Reinforcement Learning with Safety Constraints. ECML/PKDD (2) (2021)
Shin-ichi Maeda, Toshiki Nakanishi, Masanori Koyama
Meta Learning as Bayes Risk Minimization. CoRR (2020)
Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective. ICML (2020)
Masaki Saito, Shunta Saito, Masanori Koyama, Sosuke Kobayashi
Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN. Int. J. Comput. Vis. 128 (10) (2020)
Shogo Murai, Hiroaki Mikami, Masanori Koyama, Shuji Suzuki, Takuya Akiba
Online-Codistillation Meets LARS, Going beyond the Limit of Data Parallelism in Deep Learning. DLS@SC (2020)
Masanori Koyama, Shoichiro Yamaguchi
Out-of-Distribution Generalization with Maximal Invariant Predictor. CoRR (2020)
Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro
Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective. CoRR (2020)
Shoichiro Yamaguchi, Masanori Koyama
Distributional Concavity Regularization for GANs. ICLR (Poster) (2019)
Katsuhiko Ishiguro, Shin-ichi Maeda, Masanori Koyama
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks. CoRR (2019)
Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation. NeurIPS (2019)
Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation. CoRR (2019)
Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama
Optuna: A Next-generation Hyperparameter Optimization Framework. KDD (2019)
Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
Robustness to Adversarial Perturbations in Learning from Incomplete Data. CoRR (2019)
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41 (8) (2019)
Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
Robustness to Adversarial Perturbations in Learning from Incomplete Data. NeurIPS (2019)
Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama
Optuna: A Next-generation Hyperparameter Optimization Framework. CoRR (2019)
Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama
A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. CoRR (2019)
Shin-ichi Maeda, Hayato Watahiki, Shintarou Okada, Masanori Koyama
Reconnaissance and Planning algorithm for constrained MDP. CoRR (2019)
Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning. ICML (2019)
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida
Spectral Normalization for Generative Adversarial Networks. CoRR (2018)
Takeru Miyato, Masanori Koyama
cGANs with Projection Discriminator. ICLR (Poster) (2018)
Takeru Miyato, Masanori Koyama
cGANs with Projection Discriminator. CoRR (2018)
Ryohei Suzuki, Masanori Koyama, Takeru Miyato, Taizan Yonetsuji
Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration. CoRR (2018)
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida
Spectral Normalization for Generative Adversarial Networks. ICLR (2018)
Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama
Synthetic Gradient Methods with Virtual Forward-Backward Networks. ICLR (Workshop) (2017)
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning. CoRR (2017)
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii
Distributional Smoothing by Virtual Adversarial Examples. ICLR (Poster) (2016)
Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii
Principal Sensitivity Analysis. PAKDD (1) (2015)
Henrik Skibbe, Marco Reisert, Shin-ichi Maeda, Masanori Koyama, Shigeyuki Oba, Kei Ito, Shin Ishii
Efficient Monte Carlo Image Analysis for the Location of Vascular Entity. IEEE Trans. Medical Imaging 34 (2) (2015)
Sotetsu Koyamada, Yumi Shikauchi, Ken Nakae, Masanori Koyama, Shin Ishii
Deep learning of fMRI big data: a novel approach to subject-transfer decoding. CoRR (2015)
Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii
Principal Sensitivity Analysis. CoRR (2014)
Ken Nakae, Yuji Ikegaya, Tomoe Ishikawa, Shigeyuki Oba, Hidetoshi Urakubo, Masanori Koyama, Shin Ishii
A Statistical Method of Identifying Interactions in Neuron-Glia Systems Based on Functional Multicell Ca2+ Imaging. PLoS Comput. Biol. 10 (11) (2014)
David F. Anderson, Masanori Koyama
Weak Error Analysis of Numerical Methods for Stochastic Models of Population Processes. Multiscale Model. Simul. 10 (4) (2012)