Phiala Shanahan: Machine learning for sampling high-dimensional probability distributions in lattice field theory

Join us to learn more about how physics-informed machine learning and flow-based generative models are enabling exact sampling of high-dimensional probability distributions in lattice quantum field theory while preserving key symmetries like gauge invariance.