Samuel Klein — accepted AI-conference papers

2022

Flowification: Everything is a normalizing flow

Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret

NeurIPS 2022accept

The two key characteristics of a normalizing flow is that it is invertible (in particular, dimension preserving) and that it monitors the amount by which it changes the likelihood of data points as samples are propagated along the network. Recently, multiple generalizations of normalizing flows have…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2021

Toward a Visual Concept Vocabulary for GAN Latent Space

Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba

ICCV 2021poster

A large body of recent work has identified transformations in the latent spaces of generative adversarial networks (GANs) that consistently and interpretably transform generated images. But existing techniques for identifying these transformations rely on either a fixed vocabulary of pre-specified v…

Cited by 19 PDF ↗code ↗Scholar ↗