Carles Domingo-Enrich

Discrete neural samplers achieve fixed-point convergence and drastically reduce mode collapse by leveraging Gibbs sampling within a masked diffusion framework.

Unlock accurate rare event simulations: this stochastic optimal control framework dramatically improves committor estimation, reaction rates, and equilibrium constants compared to existing methods.