Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. - Mitsuki Sakamoto; Yuta Hiasa; Yoshito Otake; Masaki Takao; Yuki Suzuki; Nobuhiko Sugano; Yoshinobu Sato (CoRR, 2019)

Bayesian Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT Using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. - Mitsuki Sakamoto; Yuta Hiasa; Yoshito Otake; Masaki Takao; Yuki Suzuki; Nobuhiko Sugano; Yoshinobu Sato (J. Signal Process. Syst., 2020)

Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games. - Kenshi Abe; Mitsuki Sakamoto; Atsushi Iwasaki (UAI, 2022)

Last-Iterate Convergence with Full- and Noisy-Information Feedback in Two-Player Zero-Sum Games. - Kenshi Abe; Kaito Ariu; Mitsuki Sakamoto; Kentaro Toyoshima; Atsushi Iwasaki (CoRR, 2022)

Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games. - Kenshi Abe; Kaito Ariu; Mitsuki Sakamoto; Kentaro Toyoshima; Atsushi Iwasaki (AISTATS, 2023)

A Slingshot Approach to Learning in Monotone Games. - Kenshi Abe; Kaito Ariu; Mitsuki Sakamoto; Atsushi Iwasaki (CoRR, 2023)

Filtered Direct Preference Optimization. - Tetsuro Morimura; Mitsuki Sakamoto; Yuu Jinnai; Kenshi Abe; Kaito Ariu (EMNLP, 2024)

Adaptively Perturbed Mirror Descent for Learning in Games. - Kenshi Abe; Kaito Ariu; Mitsuki Sakamoto; Atsushi Iwasaki (ICML, 2024)

Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games. - Kenshi Abe; Mitsuki Sakamoto; Kaito Ariu; Atsushi Iwasaki (ICLR, 2025)

Evaluation of Best-of-N Sampling Strategies for Language Model Alignment. - Yuki Ichihara; Yuu Jinnai; Tetsuro Morimura; Kenshi Abe; Kaito Ariu; Mitsuki Sakamoto; Eiji Uchibe (Trans. Mach. Learn. Res., 2025)

The Power of Perturbation under Sampling in Solving Extensive-Form Games. - Wataru Masaka; Mitsuki Sakamoto; Kenshi Abe; Kaito Ariu; Tuomas Sandholm; Atsushi Iwasaki (CoRR, 2025)