13 citations · 28 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Exact quantization conditions and full transseries structures for symmetric anharmonic oscillators
Syo Kamata
We study exact Wentzel-Kramers-Brillouin analysis (EWKB) for a symmetric quantum mechanics (QM) defined by the potential that $V_{\cal PT}(x) = ω^2 x^2 + g x^{2 K} (i x…
Uncertainty quantification in the machine-learning inference from neutron star probability distribution to the equation of state
Yuki Fujimoto, Kenji Fukushima, Syo Kamata +1
We discuss the machine-learning inference and uncertainty quantification for the equation of state (EoS) of the neutron star (NS) matter directly using the NS probability distribut…
Exact WKB analysis for symmetric quantum mechanics: Study of the Ai-Bender-Sarkar conjecture
Syo Kamata
We consider exact WKB analysis to a symmetric quantum mechanics defined by the potential, with ,…