Regularization Methods for the Restricted Bayesian Network BESOM. - Yuuji Ichisugi; Takashi Sano 002 (ICONIP (1), 2016)

Translation-Invariant Neural Responses as Variational Messages in a Bayesian Network Model. - Takashi Sano 002; Yuuji Ichisugi (ICANN (1), 2017)

An Analytic Solution to the Inverse Ising Problem in the Tree-reweighted Approximation. - Takashi Sano 002 (IJCNN, 2018)

Hierarchical Reinforcement Learning with Unlimited Recursive Subroutine Calls. - Yuuji Ichisugi; Naoto Takahashi; Hidemoto Nakada; Takashi Sano 002 (ICANN (2), 2019)

Stochastic Neural Variational Learning of Noisy-OR Bayesian Networks for Images. - Takashi Sano 002; Yuuji Ichisugi (ICAAI, 2021)

An ODE-based neural network with Bayesian optimization. - Hirotada Honda; Takashi Sano 002; Shugo Nakamura; Mitsuaki Ueno; Hiroki Hanazawa; Nguyen Manh Duc Tuan (JSIAM Lett., 2023)

From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach. - Tuan Nguyen; Hirotada Honda; Takashi Sano 002; Vinh Nguyen; Shugo Nakamura; Tan Minh Nguyen (AISTATS, 2024)

Understanding Neural ODE prediction decision using SHAP. - Phuong Dinh; Deddy Jobson; Takashi Sano 002; Hirotada Honda; Shugo Nakamura (NLDL, 2024)

Investigation of Frame Differences as Motion Cues for Video Object Segmentation. - Sota Kawamura; Hirotada Honda; Shugo Nakamura; Takashi Sano 002 (CoRR, 2025)