Naoki Hamada — accepted AI-conference papers

2025

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 2025poster

Multi-objective optimization aims to find a set of solutions that achieve the best trade-off among multiple conflicting objective functions. While various multi-objective optimization algorithms have been proposed so far, most of them aim to find finite solutions as an approximation of the Pareto se…

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2023

GenéLive! Generating Rhythm Actions in Love Live!

Atsushi Takada, Daichi Yamazaki, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Naoki Hamada +3

AAAI 2023technical

This article presents our generative model for rhythm action games together with applications in business operation. Rhythm action games are video games in which the player is challenged to issue commands at the right timings during a music session. The timings are rendered in the chart, which consi…

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