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cs.CV2026
SNaP: One-Step Posterior Sampling for Noisy Inverse Problems
Shirin Shoushtari, Edward P. Chandler, Xiao Shi +1
Diffusion and flow-matching models can produce high-quality posterior samples for inverse problems, but typically require tens to thousands of network evaluations per draw. MeanFlo…
cs.CV2025
EigenScore: OOD Detection using Covariance in Diffusion Models
Shirin Shoushtari, Yi Wang, Xiao Shi +2
Out-of-distribution (OOD) detection is critical for the safe deployment of machine learning systems in safety-sensitive domains. Diffusion models have recently emerged as powerful…