no code implementations • 24 Oct 2023 • Yuma Ichikawa, Koji Hukushima
To mitigate this problem, an adjustable hyperparameter $\beta$ and a strategy for annealing this parameter, called KL annealing, are proposed.
no code implementations • 14 Sep 2023 • Yuma Ichikawa, Koji Hukushima
This paper presents a closed-form expression to assess the relationship between the beta in VAE, the dataset size, the posterior collapse, and the rate-distortion curve by analyzing a minimal VAE in a high-dimensional limit.
no code implementations • 8 Mar 2021 • Takeo Hoshi, Daishiro Sakata, Shotaro Oie, Izumi Mochizuki, Satoru Tanaka, Toshio Hyodo, Koji Hukushima
The present article proposes a data analysis method for experimentally-derived measurements, which consists of an auto-optimization procedure and a sensitivity analysis.
Materials Science
no code implementations • 13 Jun 2020 • Ryo Tamura, Koji Hukushima, Akira Matsuo, Koichi Kindo, Masashi Hase
We propose a data-driven technique to estimate the spin Hamiltonian, including uncertainty, from multiple physical quantities.
2 code implementations • 6 Dec 1995 • Koji Hukushima, Koji Nemoto
We propose an efficient Monte Carlo algorithm for simulating a ``hardly-relaxing" system, in which many replicas with different temperatures are simultaneously simulated and a virtual process exchanging configurations of these replica is introduced.