492 citations · 2k across the 17 of their papers we have counts for
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stat.ML2020★ 1 cited
Integrable Nonparametric Flows
David Pfau, Danilo Rezende
We introduce a method for reconstructing an infinitesimal normalizing flow given only an infinitesimal change to a (possibly unnormalized) probability distribution. This reverses t…
physics.comp-ph2020★ 7 cited
Better, Faster Fermionic Neural Networks
James S. Spencer, David Pfau, Aleksandar Botev +1
The Fermionic Neural Network (FermiNet) is a recently-developed neural network architecture that can be used as a wavefunction Ansatz for many-electron systems, and has already dem…
stat.ML2020★ 5 cited
Disentangling by Subspace Diffusion
David Pfau, Irina Higgins, Aleksandar Botev +1
We present a novel nonparametric algorithm for symmetry-based disentangling of data manifolds, the Geometric Manifold Component Estimator (GEOMANCER). GEOMANCER provides a partial…