Generative Networks for Precision Enthusiasts. - Anja Butter; Theo Heimel; Sander Hummerich; Tobias Krebs; Tilman Plehn; Armand Rousselot; Sophia Vent (CoRR, 2021)

On the Convergence Rate of Gaussianization with Random Rotations. - Felix Draxler; Lars Kühmichel; Armand Rousselot; Jens Müller 009; Christoph Schnörr; Ullrich Köthe (ICML, 2023)

Generative Invertible Quantum Neural Networks. - Armand Rousselot; Michael Spannowsky (CoRR, 2023)

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)

TRADE: Transfer of Distributions between External Conditions with Normalizing Flows. - Stefan Wahl; Armand Rousselot; Felix Draxler; Ullrich Köthe (AISTATS, 2025)