no code implementations • 1 Jun 2024 • Youngkyoung Bae, Yeongwoo Song, Hawoong Jeong
By approximating the dynamics of stochastic gradient descent into Langevin dynamics, we theoretically show that restarting can provide great improvements as the batch size and the proportion of corrupted data increase.
no code implementations • 2 Feb 2024 • Youngkyoung Bae, Seungwoong Ha, Hawoong Jeong
Pervasive across diverse domains, stochastic systems exhibit fluctuations in processes ranging from molecular dynamics to climate phenomena.
1 code implementation • 29 Jun 2021 • Youngkyoung Bae, Dong-Kyum Kim, Hawoong Jeong
We show that our method accurately measures the EP and creates a dissipation map in two nonequilibrium systems, the bead-spring model and a network of elastic filaments.
no code implementations • 23 Dec 2020 • Youngkyoung Bae, Sangyun Lee, Juin Kim, Hawoong Jeong
Another unique feature of the Langevin description is that rotation is maximized at a particular anisotropy while the stability of the rotation is minimized at a particular anisotropy or mass.
Statistical Mechanics
2 code implementations • 9 Mar 2020 • Dong-Kyum Kim, Youngkyoung Bae, Sangyun Lee, Hawoong Jeong
This Letter presents a neural estimator for entropy production, or NEEP, that estimates entropy production (EP) from trajectories of relevant variables without detailed information on the system dynamics.