Miyato, Takeru

12 publications

ICLR 2025 Artificial Kuramoto Oscillatory Neurons Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling

NeurIPS 2025 Kuramoto Orientation Diffusion Models Yue Song, T. Anderson Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling

ICLR 2024 GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger

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

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

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 Adversarial Training Methods for Semi-Supervised Text Classification Takeru Miyato, Andrew M. Dai, Ian J. Goodfellow

ICML 2017 Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama

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