SILO: Worst-case generation via minimax optimization in Wasserstein space
Abstract: Generative models such as normalizing flows and diffusion processes have transformed how we represent complex, high-dimensional data. In this talk, I introduce a framework for worst-case generation formulated as a minimax optimization problem in Wasserstein space. This perspective reveals a unified view of risk-induced generation and distributional robustness, showing that worst-case distributions arise …