166 citations · 414 across the 20 of their papers we have counts for
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stat.ML2021
Probabilistic Autoencoder using Fisher Information
Johannes Zacherl, Philipp Frank, Torsten A. Enßlin
Neural Networks play a growing role in many science disciplines, including physics. Variational Autoencoders (VAEs) are neural networks that are able to represent the essential inf…
stat.ME2021★ 45 cited
Geometric variational inference
Philipp Frank, Reimar Leike, Torsten A. Enßlin
Efficiently accessing the information contained in non-linear and high dimensional probability distributions remains a core challenge in modern statistics. Traditionally, estimator…