67 citations · 108 across the 9 of their papers we have counts for
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cs.LG2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs
Daniel Franzen, Michael Wand
Invariance under symmetry is an important problem in machine learning. Our paper looks specifically at equivariant neural networks where transformations of inputs yield homomorphic…
physics.chem-ph2021★ 1 cited
Adversarial reverse mapping of condensed-phase molecular structures: Chemical transferability
Marc Stieffenhofer, Tristan Bereau, Michael Wand
Switching between different levels of resolution is essential for multiscale modeling, but restoring details at higher resolution remains challenging. In our previous study we have…