Janik Kreit

SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows

Deep generative models have recently garnered significant attention across various fields, from physics to chemistry, where sampling from unnormalized Boltzmann-like distributions represents a fundamental challenge. In particular, autoregressive models and normalizing flows have become prominent due…