Generative adversarial network based on chaotic time series. - Makoto Naruse; Takashi Matsubara 001; Nicolas Chauvet; Kazutaka Kanno; Tianyu Yang; Atsushi Uchida (CoRR, 2019)

Dynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series. - Shungo Takeuchi; Mikio Hasegawa; Kazutaka Kanno; Atsushi Uchida; Nicolas Chauvet; Makoto Naruse (CoRR, 2019)

Adaptive model selection in photonic reservoir computing by reinforcement learning. - Kazutaka Kanno; Makoto Naruse; Atsushi Uchida (CoRR, 2020)

Using multidimensional speckle dynamics for high-speed, large-scale, parallel photonic computing. - Satoshi Sunada; Kazutaka Kanno; Atsushi Uchida (CoRR, 2021)

Performance Improvement of Delay-Based Photonic Reservoir Computing. - Kazutaka Kanno; Atsushi Uchida (Reservoir Computing, 2021)

Photonic Decision Making by Chaotic Mode Dynamics in Multi-mode Semiconductor Laser with Optical Feedback. - Ryugo Iwami; Takatomo Mihana; Kazutaka Kanno; Makoto Naruse; Atsushi Uchida (OECC/PSC, 2022)

Photonic Decision Making for Solving Bandit Problem Using Laser Network. - Takatomo Mihana; Kazutaka Kanno; Makoto Naruse; Atsushi Uchida (OECC/PSC, 2022)

Photonic reinforcement learning based on optoelectronic reservoir computing. - Kazutaka Kanno; Atsushi Uchida (CoRR, 2022)

Controlling chaotic itinerancy in laser dynamics for reinforcement learning. - Ryugo Iwami; Takatomo Mihana; Kazutaka Kanno; Satoshi Sunada; Makoto Naruse; Atsushi Uchida (CoRR, 2022)

Parallel bandit architecture based on laser chaos for reinforcement learning. - Takashi Urushibara; Nicolas Chauvet; Satoshi Kochi; Satoshi Sunada; Kazutaka Kanno; Atsushi Uchida; Ryoichi Horisaki; Makoto Naruse (CoRR, 2022)

Parallel photonic accelerator for decision making using optical spatiotemporal chaos. - Kensei Morijiri; Kento Takehana; Takatomo Mihana; Kazutaka Kanno; Makoto Naruse; Atsushi Uchida (CoRR, 2022)

Universal Single-Mode Lasing in Fully Chaotic Billiard Lasers. - Mengyu You; Daisuke Sakakibara; Kota Makino; Yonosuke Morishita; Kazutoshi Matsumura; Yuta Kawashima; Manao Yoshikawa; Mahiro Tonosaki; Kazutaka Kanno; Atsushi Uchida; Satoshi Sunada; Susumu Shinohara; et al. (Entropy, 2022)

Attention-Enhanced Reservoir Computing. - Felix Köster; Kazutaka Kanno; Jun Ohkubo; Atsushi Uchida (CoRR, 2023)

Attention-Enhanced Reservoir Computing for Modeling Diverse Dynamical Systems. - Felix Köster; Kazutaka Kanno; Atsushi Uchida (ICAIIC, 2025)

Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks. - Satoshi Sunada; Tomoaki Niiyama; Kazutaka Kanno; Rin Nogami; André Röhm; Takato Awano; Atsushi Uchida (CoRR, 2025)