‪Youngkyoung Bae‬ - ‪Academic Search‬

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	All	Since 2020
Citations	80	79
h-index	3	3
i10-index	2	2

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2020202120222023202420251 10 25 16 26 1

Co-authors

Hawoong JeongProfessor of Physics, KAISTVerified email at kaist.edu
Dong-Kyum KimPostdoc, Max Planck Institute for Security and Privacy (MPI-SP)Verified email at mpi-sp.org
Sangyun LeeResearch Fellow, School of physics, KIASVerified email at umd.edu
Gangmin SonKorea Institute for Advanced Study (KIAS)Verified email at kias.re.kr
Seungwoong HaApplied Complexity Fellow, Santa Fe InstituteVerified email at santafe.edu

Youngkyoung Bae

Youngkyoung Bae

Postdoc, Department of Physics and Astronomy, Seoul National University

Verified email at snu.ac.kr

Statistical Physics Complex system Stochastic process Machine learning Deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning entropy production via neural networks DK Kim, Y Bae, S Lee, H Jeong Physical Review Letters, 2020	47	2020
Inertial effects on the Brownian gyrator Y Bae, S Lee, J Kim, H Jeong Physical Review E 103 (3), 032148, 2021	23	2021
Inferring dissipation maps from videos using convolutional neural networks Y Bae, DK Kim, H Jeong Physical Review Research 4 (3), 033094, 2022	6*	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	3	2022
Stochastic Restarting to Overcome Overfitting in Neural Networks with Noisy Labels Y Bae, Y Song, H Jeong arXiv preprint arXiv:2406.00396v2, 2024	1	2024
Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks Y Bae, S Ha, H Jeong arXiv preprint arXiv:2402.01338, 2024		2024

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