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arXiv (Cornell University)
Learning to Validate Generative Models: a Goodness-of-Fit Approach
November 2025 • Marco Letizia, Humberto Reyes-González, M. Zanetti
Generative models are increasingly central to scientific workflows, yet their systematic use and interpretation require a proper understanding of their limitations through rigorous validation. Classic approaches struggle with scalability, statistical power, or interpretability when applied to high-dimensional data, making it difficult to certify the reliability of these models in realistic, high-dimensional scientific settings. Here, we propose the use of the New Physics Learning Machine (NPLM), a learning-based a…
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