This video is part of the Machine Learning series taught by Prof. Hamprecht at Heidelberg University during the winter term 2024/2025.
Lecture Structure:
00:00:00 – Diffusion vs Flow-Based Models
00:03:14 – Mapping Solutions / Transport Maps
00:17:16 – Use Cases
00:22:06 – Coupling Flows
00:34:21 – Invertible Mapping
00:39:16 – Real NVP
The lecture is part of the „Machine Learning and Physics“ course offered at Heidelberg University. Further materials and course details can be found at: https://sciai-lab.org/teaching/
