On-line Learning of an Unlearnable True Teacher through Mobile Ensemble Teachers - Takeshi Hirama; Koji Hukushima (CoRR, 2008)

Typical behavior of the linear programming method for combinatorial optimization problems: From a statistical-mechanical perspective. - Satoshi Takabe; Koji Hukushima (CoRR, 2013)

Statistical-mechanical Analysis of Linear Programming Relaxation for Combinatorial Optimization Problems. - Satoshi Takabe; Koji Hukushima (CoRR, 2016)

Typical Performance of Approximation Algorithms for NP-hard Problems. - Satoshi Takabe; Koji Hukushima (CoRR, 2016)

Typical Approximation Performance for Maximum Coverage Problem. - Satoshi Takabe; Takanori Maehara; Koji Hukushima (CoRR, 2017)

An exact algorithm exhibiting RS-RSB/easy-hard correspondence for the maximum independent set problem. - Jun Takahashi; Satoshi Takabe; Koji Hukushima (CoRR, 2017)

Large-deviation Properties of Linear-programming Computational Hardness of the Vertex Cover Problem. - Satoshi Takabe; Koji Hukushima; Alexander K. Hartmann (CoRR, 2018)

Data-driven determination of the spin Hamiltonian parameters and their uncertainties: The case of the zigzag-chain compound KCu4P3O12. - Ryo Tamura; Koji Hukushima; Akira Matsuo; Koichi Kindo; Masashi Hase (CoRR, 2020)

Data-driven sensitivity analysis in surface structure determination using total-reflection high-energy positron diffraction (TRHEPD). - Takeo Hoshi; Daishiro Sakata; Shotaro Oie; Izumi Mochizuki; Satoru Tanaka; Toshio Hyodo; Koji Hukushima (Comput. Phys. Commun., 2022)

Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis-Hastings Method. - Hiroaki Inoue; Koji Hukushima; Toshiaki Omori (Entropy, 2022)

Dataset Size Dependence of Rate-Distortion Curve and Threshold of Posterior Collapse in Linear VAE. - Yuma Ichikawa; Koji Hukushima (CoRR, 2023)

Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing. - Yuma Ichikawa; Koji Hukushima (AISTATS, 2024)

Adaptive Flip Graph Algorithm for Matrix Multiplication. - Yamato Arai; Yuma Ichikawa; Koji Hukushima (ISSAC, 2024)

Critical Phase Transition in a Large Language Model. - Kai Nakaishi; Yoshihiko Nishikawa; Koji Hukushima (CoRR, 2024)

Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback-Leibler Divergence Learning. - Yuichi Ishida; Yuma Ichikawa; Aki Dote; Toshiyuki Miyazawa; Koji Hukushima (CoRR, 2024)

Statistical Mechanics of Min-Max Problems. - Yuma Ichikawa; Koji Hukushima (Trans. Mach. Learn. Res., 2024)

Rethinking the Relationship between the Power Law and Hierarchical Structures. - Kai Nakaishi; Ryo Yoshida; Kohei Kajikawa; Koji Hukushima; Yohei Oseki (CoRR, 2025)