Assistant Professor, Radboud University Nijmegen
2 papers at NeurIPS 2025
We present a time scheduler that selects sampling points based on entropy rather than uniform time spacing, ensuring each point contributes an equal amount of information to the final generation.
We introduce Feedback Guidance, a trajectory specific guidance scheme that relies on the models own prediction to dynamically adapt the value of the guidance scale.
