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20222026
most citedGraph neural networks for materials science and chemistry

34 citations · 49 across the 8 of their papers we have counts for

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cs.LG2026

Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization

Henrik Schopmans, Christopher von Klitzing, Pascal Friederich

Sampling from unnormalized probability densities is a central challenge in computational science. Boltzmann generators are generative models that enable independent sampling from t…