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cs.LG2026
Biased Generalization in Diffusion Models
Jerome Garnier-Brun, Luca Biggio, Davide Beltrame +2
Generalization in generative modeling is defined as the ability to learn an underlying distribution from a finite dataset and produce novel samples, with evaluation largely driven…
cs.LG2024
How transformers learn structured data: insights from hierarchical filtering
Jerome Garnier-Brun, Marc Mézard, Emanuele Moscato +1
Understanding the learning process and the embedded computation in transformers is becoming a central goal for the development of interpretable AI. In the present study, we introdu…