Learning Distributions on Manifolds with Free-form Flows

1 code implementation • 15 Dec 2023 • Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe

Many real world data, particularly in the natural sciences and computer vision, lie on known Riemannian manifolds such as spheres, tori or the group of rotation matrices.

Lifting Architectural Constraints of Injective Flows

2 code implementations • 2 Jun 2023 • Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Lea Zimmermann, Ullrich Köthe

Normalizing Flows explicitly maximize a full-dimensional likelihood on the training data.

Generative Networks for Precision Enthusiasts

no code implementations • 22 Oct 2021 • Anja Butter, Theo Heimel, Sander Hummerich, Tobias Krebs, Tilman Plehn, Armand Rousselot, Sophia Vent

Generative networks are opening new avenues in fast event generation for the LHC.

Data Augmentation