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Matthew Repasky

2 accepted papers

2025

Consistency Posterior Sampling for Diverse Image Synthesis

CVPR 2025poster

Posterior sampling in high-dimensional spaces using generative models holds significant promise for various applications, including but not limited to inverse problems and guided generation tasks. Generating diverse posterior samples remains expensive, as existing methods require restarting the enti…

2024

Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models

ICASSP 2024accepted

Learning to differentiate model distributions from observed data is a fundamental problem in statistics and machine learning, and high-dimensional data remains a challenging setting for such problems. Metrics that quantify the disparity in probability distributions, such as the Stein discrepancy, pl…

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