Syo Kamata

most citedStochastic quantization and diffusion models

6 citations · 6 across the 2 of their papers we have counts for

collaborators

3 papers

nucl-th2025

Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data

Kenji Fukushima, Syo Kamata

We study the performance of the Topological Uncertainty (TU) constructed with a trained feedforward neural network (FNN) for Anomaly Detection. Generally, meaningful information ca…

hep-th2025

Exact Sum Rules and Zeta Generating Formulas from the ODE/IM correspondence

Syo Kamata

We develop a spectral-zeta framework for quantum mechanics with the $P T$ -symmetric potential $V_{P T} (x) = x^{2 K} (i x)^{ε}$ $(K, ε \in N)$ and…

hep-lat2024★ 6 cited

Stochastic quantization and diffusion models

Kenji Fukushima, Syo Kamata

This is a pedagogical review of the possible connection between the stochastic quantization in physics and the diffusion models in machine learning. For machine-learning applicatio…