Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). - Peter Sorrenson; Carsten Rother; Ullrich Köthe (ICLR, 2020)

Better Latent Spaces for Better Autoencoders. - Barry M. Dillon; Tilman Plehn; Christof Sauer; Peter Sorrenson (CoRR, 2021)

Maximum Likelihood Training of Autoencoders. - Peter Sorrenson; Felix Draxler; Armand Rousselot; Sander Hummerich; Lea Zimmermann; Ullrich Köthe (CoRR, 2023)

Free-form Flows: Make Any Architecture a Normalizing Flow. - Felix Draxler; Peter Sorrenson; Lea Zimmermann; Armand Rousselot; Ullrich Köthe (AISTATS, 2024)

Lifting Architectural Constraints of Injective Flows. - Peter Sorrenson; Felix Draxler; Armand Rousselot; Sander Hummerich; Lea Zimmermann; Ullrich Köthe (ICLR, 2024)

Learning Distributions on Manifolds with Free-Form Flows. - Peter Sorrenson; Felix Draxler; Armand Rousselot; Sander Hummerich; Ullrich Köthe (NeurIPS, 2024)

Learning Distances from Data with Normalizing Flows and Score Matching. - Peter Sorrenson; Daniel Behrend-Uriarte; Christoph Schnörr; Ullrich Köthe (CoRR, 2024)

Beyond Diagonal Covariance: Flexible Posterior VAEs via Free-Form Injective Flows. - Peter Sorrenson; Lukas Lührs; Hans Olischläger; Ullrich Köthe (CoRR, 2025)