29 citations · 149 across the 27 of their papers we have counts for
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cs.LG2023★ 1 cited
Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling
Teerachote Pakornchote, Natthaphon Choomphon-anomakhun, Sorrjit Arrerut +4
The crystal diffusion variational autoencoder (CDVAE) is a machine learning model that leverages score matching to generate realistic crystal structures that preserve crystal symme…
cs.LG2018★ 1 cited
Mean Field Theory of Activation Functions in Deep Neural Networks
Mirco Milletarí, Thiparat Chotibut, Paolo E. Trevisanutto
We present a Statistical Mechanics (SM) model of deep neural networks, connecting the energy-based and the feed forward networks (FFN) approach. We infer that FFN can be understood…