Full Professor, Technische Universität München
3 papers at NeurIPS 2025
We propose a post-training technique, that uses a hypernetwork to efficiently steer diffusion model initial noise towards distributions favored by reward models, enhancing generation quality at low computational cost.
A cognition grounded interpretability method
