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cs.LG2025
Towards Uncertainty Quantification in Generative Model Learning
Giorgio Morales, Frederic Jurie, Jalal Fadili
While generative models have become increasingly prevalent across various domains, fundamental concerns regarding their reliability persist. A crucial yet understudied aspect of th…
cs.AI2025
A New Perspective on Precision and Recall for Generative Models
Benjamin Sykes, Loïc Simon, Julien Rabin +1
With the recent success of generative models in image and text, the question of their evaluation has recently gained a lot of attention. While most methods from the state of the ar…