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Flow Annealed Importance Sampling Bootstrap

Flow Annealed Importance Sampling Bootstrap

3 August 2022
Laurence Illing Midgley
Vincent Stimper
G. Simm
Bernhard Schölkopf
José Miguel Hernández-Lobato
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Papers citing "Flow Annealed Importance Sampling Bootstrap"

6 / 56 papers shown
Title
Rigid Body Flows for Sampling Molecular Crystal Structures
Rigid Body Flows for Sampling Molecular Crystal Structures
Jonas Köhler
Michele Invernizzi
P. D. Haan
Frank Noé
AI4CE
25
27
0
26 Jan 2023
normflows: A PyTorch Package for Normalizing Flows
normflows: A PyTorch Package for Normalizing Flows
Vincent Stimper
David Liu
Andrew Campbell
V. Berenz
Lukas Ryll
Bernhard Schölkopf
José Miguel Hernández-Lobato
AI4CE
14
55
0
26 Jan 2023
Learning Interpolations between Boltzmann Densities
Learning Interpolations between Boltzmann Densities
Bálint Máté
Franccois Fleuret
16
23
0
18 Jan 2023
An optimal control perspective on diffusion-based generative modeling
An optimal control perspective on diffusion-based generative modeling
Julius Berner
Lorenz Richter
Karen Ullrich
DiffM
23
80
0
02 Nov 2022
Latent State Marginalization as a Low-cost Approach for Improving
  Exploration
Latent State Marginalization as a Low-cost Approach for Improving Exploration
Dinghuai Zhang
Aaron Courville
Yoshua Bengio
Qinqing Zheng
Amy Zhang
Ricky T. Q. Chen
OOD
17
9
0
03 Oct 2022
Gradients should stay on Path: Better Estimators of the Reverse- and
  Forward KL Divergence for Normalizing Flows
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows
Lorenz Vaitl
K. Nicoli
Shinichi Nakajima
Pan Kessel
42
24
0
17 Jul 2022
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