Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization. - Ken Kobayashi; Naoki Hamada; Akiyoshi Sannai; Akinori Tanaka; Kenichi Bannai; Masashi Sugiyama (AAAI, 2019)

Discriminator optimal transport. - Akinori Tanaka (NeurIPS, 2019)

Metric on random dynamical systems with vector-valued reproducing kernel Hilbert spaces. - Isao Ishikawa; Akinori Tanaka; Masahiro Ikeda; Yoshinobu Kawahara (CoRR, 2019)

Asymptotic Risk of Bézier Simplex Fitting. - Akinori Tanaka; Akiyoshi Sannai; Ken Kobayashi; Naoki Hamada (AAAI, 2020)

Approximate Bayesian Computation of Bézier Simplices. - Akinori Tanaka; Akiyoshi Sannai; Ken Kobayashi; Naoki Hamada (CoRR, 2021)

Understanding Diffusion Models by Feynman's Path Integral. - Yuji Hirono; Akinori Tanaka; Kenji Fukushima (ICML, 2024)

Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization. - Yasunari Hikima; Ken Kobayashi; Akinori Tanaka; Akiyoshi Sannai; Naoki Hamada (AISTATS, 2025)

Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization. - Akiyoshi Sannai; Yasunari Hikima; Ken Kobayashi; Akinori Tanaka; Naoki Hamada (Trans. Mach. Learn. Res., 2025)