activity
20182021
most citedThermodynamics and Feature Extraction by Machine Learning

47 citations · 70 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2021★ 1 cited

Feature extraction of machine learning and phase transition point of Ising model

Shotaro Shiba Funai

We study the features extracted by the Restricted Boltzmann Machine (RBM) when it is trained with spin configurations of Ising model at various temperatures. Using the trained RBM,…

hep-th2021

Calculation of Hawking Radiation in Local Field Theory

Shotaro Shiba Funai, Hirotaka Sugawara

Hawking radiation of the blackhole is calculated based on the principle of local field theory. In our approach, the radiation is a unitary process, therefore no information loss wi…

hep-th2020★ 16 cited

Partial Deconfinement at Strong Coupling on the Lattice

Hiromasa Watanabe, Georg Bergner, Norbert Bodendorfer +5

We provide evidence for partial deconfinement -- the deconfinement of a SU() subgroup of the SU() gauge group -- by using lattice Monte Carlo simulations. We take matrix mode…

hep-th2020

Current Algebra Formulation of Quantum Gravity and Its Application to Cosmology

Shotaro Shiba Funai, Hirotaka Sugawara

Gravity theory based on current algebra is formulated. The gauge principle rather than the general covariance combined with the equivalence principle plays the pivotal role in the…

cs.LG2019★ 6 cited

Featuring the topology with the unsupervised machine learning

Kenji Fukushima, Shotaro Shiba Funai, Hideaki Iida

Images of line drawings are generally composed of primitive elements. One of the most fundamental elements to characterize images is the topology; line segments belong to a categor…

cond-mat.stat-mech2018★ 47 cited

Thermodynamics and Feature Extraction by Machine Learning

Shotaro Shiba Funai, Dimitrios Giataganas

Machine learning methods are powerful in distinguishing different phases of matter in an automated way and provide a new perspective on the study of physical phenomena. We train a…