99 citations · 409 across the 21 of their papers we have counts for
3 papers · 1 filter
Learning to Validate Generative Models: a Goodness-of-Fit Approach
Pietro Cappelli, Gaia Grosso, Marco Letizia +2
Generative models are increasingly central to scientific workflows, yet their systematic use and interpretation require a proper understanding of their limitations through rigorous…
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
Andrea Coccaro, Marco Letizia, Humberto Reyes-Gonzalez +1
Normalizing flows have emerged as a powerful brand of generative models, as they not only allow for efficient sampling of complicated target distributions but also deliver density…
Testing the boundaries: Normalizing Flows for higher dimensional data sets
Humberto Reyes-Gonzalez, Riccardo Torre
Normalizing Flows (NFs) are emerging as a powerful class of generative models, as they not only allow for efficient sampling, but also deliver, by construction, density estimation.…