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stat.ML2025
Comparing Generative Models with the New Physics Learning Machine
Samuele Grossi, Marco Letizia, Riccardo Torre
The rise of generative models for scientific research calls for the development of new methods to evaluate their fidelity. A natural framework for addressing this problem is two-sa…
stat.ML2024
Refereeing the Referees: Evaluating Two-Sample Tests for Validating Generators in Precision Sciences
Samuele Grossi, Marco Letizia, Riccardo Torre
We propose a robust methodology to evaluate the performance and computational efficiency of non-parametric two-sample tests, specifically designed for high-dimensional generative m…