Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices
Langevin dynamics (LD) has been extensively studied theoretically and practically as a basic sampling technique. Recently, the incorporation of non-reversible dynamics into LD is attracting attention because it accelerates the mixing speed of LD. Popular choices for non-reversible dynamics include u...
Main Authors: | Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/8/993 |
Similar Items
-
Accelerating Convergence of Langevin Dynamics via Adaptive Irreversible Perturbations
by: Zhenqing Wu, et al.
Published: (2023-12-01) -
Neural Langevin Dynamical Sampling
by: Minghao Gu, et al.
Published: (2020-01-01) -
Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling
by: Shiliang Sun, et al.
Published: (2023-03-01) -
Dynamical study of emitted particles from exited nucleus using Langevin approach
by: D Naderi, et al.
Published: (2018-12-01) -
Approaches to evaluating measurement uncertainty
by: Forbes A.B.
Published: (2012-01-01)