Nikiforos Mimikos-Stamatopoulos

Score-based generative models are provably robust: an uncertainty quantification perspective

Through an uncertainty quantification (UQ) perspective, we show that score-based generative models (SGMs) are provably robust to the multiple sources of error in practical implementation. Our primary tool is the Wasserstein uncertainty propagation (WUP) theorem, a *model-form UQ* bound that describe…