‪Youngkyoung Bae‬ - ‪Google Scholar‬

Crea il mio profilo

Citata da

	Tutte	Dal 2019
Citazioni	66	65
Indice H	3	3
i10-index	2	2

0

24

12

202020212022202320241 10 24 19 11

Coautori

Hawoong JeongProfessor of Physics, KAISTEmail verificata su kaist.edu
Dong-Kyum KimPostdoc, IBSEmail verificata su ibs.re.kr
Sangyun LeeVisiting scholar at University of Maryland College Park & Research Fellow, School of physics, KIASEmail verificata su umd.edu
Gangmin SonKorea Institute for Advanced Study (KIAS)Email verificata su kias.re.kr
Seungwoong HaApplied Complexity Fellow, Santa Fe InstituteEmail verificata su santafe.edu

Youngkyoung Bae

Youngkyoung Bae

Postdoc, Department of Physics and Astronomy, Seoul National University

Email verificata su snu.ac.kr

Statistical Physics Complex system Stochastic process Machine learning Deep learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Learning entropy production via neural networks DK Kim, Y Bae, S Lee, H Jeong Physical Review Letters, 2020	42	2020
Inertial effects on the Brownian gyrator Y Bae, S Lee, J Kim, H Jeong Physical Review E 103 (3), 032148, 2021	19	2021
Inferring dissipation maps from videos using convolutional neural networks Y Bae, DK Kim, H Jeong Physical Review Research 4 (3), 033094, 2022	4*	2022
Unexpected advantages of exploitation for target searches in complex networks Y Bae, G Son, H Jeong Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (8), 083118, 2022	1	2022
Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks Y Bae, S Ha, H Jeong arXiv preprint arXiv:2402.01338, 2024		2024

Il sistema al momento non può eseguire l'operazione. Riprova più tardi.

Articoli 1–5