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20152026
most citedMACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

304 citations · 1.4k across the 15 of their papers we have counts for

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cs.LG2022★ 14 cited

Flow Annealed Importance Sampling Bootstrap

Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm +2

Normalizing flows are tractable density models that can approximate complicated target distributions, e.g. Boltzmann distributions of physical systems. However, current methods for…

cs.LG2021

Bootstrap Your Flow

Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm +1

Normalizing flows are flexible, parameterized distributions that can be used to approximate expectations from intractable distributions via importance sampling. However, current fl…