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Designing losses for data-free training of normalizing flows on
  Boltzmann distributions

Designing losses for data-free training of normalizing flows on Boltzmann distributions

13 January 2023
Loris Felardos
Jérôme Hénin
Guillaume Charpiat
    AI4CE
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Papers citing "Designing losses for data-free training of normalizing flows on Boltzmann distributions"

3 / 3 papers shown
Title
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data
Maximilian Stupp
P. S. Koutsourelakis
40
0
0
29 Apr 2025
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
Stefan Wahl
Armand Rousselot
Felix Dräxler
Ullrich Kothe
Ullrich Köthe
24
0
0
25 Oct 2024
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter
Ayman Boustati
Nikolas Nusken
Francisco J. R. Ruiz
Ömer Deniz Akyildiz
DRL
127
48
0
20 Oct 2020
1