We provide a mathematically rigorous framework to study the use of Deep Mutual Learning in the context of conditional diffusion models for long tailed generation.

This study raises and addresses the problem of time-delayed feedback in learning in games.

We prove convergence of an efficient method to solve unregularized MFGs under non-strict monotonicity.