Analysis of Neural Circuit for Visual Attention Using Lognormally Distributed Input. - Yoshihiro Nagano; Norifumi Watanabe; Atsushi Aoyama (ICANN, 2014)

Concept Formation and Dynamics of Repeated Inference in Deep Generative Models. - Yoshihiro Nagano; Ryo Karakida; Masato Okada (CoRR, 2017)

A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning. - Yoshihiro Nagano; Shoichiro Yamaguchi; Yasuhiro Fujita 001; Masanori Koyama (ICML, 2019)

A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. - Yoshihiro Nagano; Shoichiro Yamaguchi; Yasuhiro Fujita 001; Masanori Koyama (CoRR, 2019)

Analysis of Trainability of Gradient-based Multi -environment Learning from Gradient Norm Regularization Perspective. - Shiro Takagi; Yoshihiro Nagano; Yuki Yoshida; Masato Okada (IJCNN, 2021)

Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks. - Haruka Asanuma; Shiro Takagi; Yoshihiro Nagano; Yuki Yoshida; Yasuhiko Igarashi; Masato Okada (CoRR, 2021)

Sharp Learning Bounds for Contrastive Unsupervised Representation Learning. - Han Bao 002; Yoshihiro Nagano; Kento Nozawa (CoRR, 2021)

On the Surrogate Gap between Contrastive and Supervised Losses. - Han Bao 002; Yoshihiro Nagano; Kento Nozawa (ICML, 2022)

Analysis of Pleasantness Evoked by Various Airborne Ultrasound Tactile Stimuli Using Pairwise Comparisons and the Bradley-Terry Model. - Sora Satake; Yoshihiro Nagano; Masashi Sugiyama; Masahiro Fujiwara; Yasutoshi Makino; Hiroyuki Shinoda 001 (CoRR, 2023)

Spurious reconstruction from brain activity. - Ken Shirakawa; Yoshihiro Nagano; Misato Tanaka; Shuntaro C. Aoki; Yusuke Muraki; Kei Majima; Yukiyasu Kamitani (Neural Networks, 2025)