30 citations · 56 across the 3 of their papers we have counts for
3 papers
physics.chem-ph2023★ 30 cited
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Shuxin Zheng, Jiyan He, Chang Liu +15
Advances in deep learning have greatly improved structure prediction of molecules. However, many macroscopic observations that are important for real-world applications are not fun…
stat.ML2023★ 7 cited
Equivariant flow matching
Leon Klein, Andreas Krämer, Frank Noé
Normalizing flows are a class of deep generative models that are especially interesting for modeling probability distributions in physics, where the exact likelihood of flows allow…
quant-ph2022★ 19 cited
Optimal Thermometers with Spin Networks
Paolo Abiuso, Paolo Andrea Erdman, Michael Ronen +3
The heat capacity of a given probe is a fundamental quantity that determines, among other properties, the maximum precision in temperature estimation. In turn, $\math…