Freitag, 4. Juli 2025 17:00 Uhr Generative Neural Networks for the Sciences
Prof. Dr. Ullrich Köthe, Interdisciplinary Center for Scientific Computing (IWR), Heidelberg
Generative modelling with normalizing flows has worked well in scientific applications like simulation-based inference. However, the peculiar design makes it difficult to incorporate prior knowledge (such as laws of physics or chemistry) into their architecture. Free-form flows eliminate this restriction by means of a new training algorithm. Manifold free-form flows elegantly exploit these opportunities in the case when we know that the data reside on a manifold. The talk will explain the underlying theory and present experimental evidence for the promising behavior of the new approach.
