As such, in games where the marginalization of CCE coincides with the game's Nash equilibria (like

A common feature of these applications is that there are multiple decision makers interacting with each other in a common environment.

We propose a new algorithm for the problem of recovering data that adheres to multiple, heterogeneous low-dimensional structures from linear observations.

Nash equilibria can be effectively addressed.

Molecular dynamics (MD) is a broadly adopted technique to approximate such quantities.

In this work, we treat variational flows as dynamical systems, and leverage shadowing theory to elucidate this behavior via theoretical guarantees on the error of sampling, density evaluation, and ELBO estimation.