Learning with Partial Forgetting in Modern Hopfield Networks. - Toshihiro Ota; Ikuro Sato; Rei Kawakami; Masayuki Tanaka 001; Nakamasa Inoue (AISTATS, 2023)

iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer. - Toshihiro Ota; Masato Taki (CoRR, 2023)

Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks. - Toshihiro Ota; Ryo Karakida (Neural Comput., 2023)

Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces. - Toshihiro Ota (CoRR, 2024)

Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry Breaking. - Ryo Karakida; Toshihiro Ota; Masato Taki (CoRR, 2024)

The Hamiltonian of Poly-matrix Zero-sum Games. - Toshihiro Ota; Yuma Fujimoto (CoRR, 2025)