6 citations · 12 across the 15 of their papers we have counts for
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physics.bio-ph2022★ 1 cited
Learning the shape of protein micro-environments with a holographic convolutional neural network
Michael N. Pun, Andrew Ivanov, Quinn Bellamy +5
Proteins play a central role in biology from immune recognition to brain activity. While major advances in machine learning have improved our ability to predict protein structure f…
cs.LG2022
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space
Gian Marco Visani, Michael N. Pun, Arman Angaji +1
Group-equivariant neural networks have emerged as a data-efficient approach to solve classification and regression tasks, while respecting the relevant symmetries of the data. Howe…