2023
Conditionally Strongly Log-Concave Generative Models
ICML 2023poster
There is a growing gap between the impressive results of deep image generative models and classical algorithms that offer theoretical guarantees. The former suffer from mode collapse or memorization issues, limiting their application to scientific data. The latter require restrictive assumptions suc…