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Alberto Foresti

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#machine learning Preprint Oct 2026

Information Estimation with Discrete Diffusion

Information-theoretic measures, such as Mutual Information (MI), play a crucial role in understanding non-linear relationships between random variables and are widely used across scientific disciplines. Yet, their use on real-world discrete data remains challenging. Existing methods typically rely on embedding discrete...

Alberto Foresti, Giulio Franzese, Pietro Michiardi · 0 citations
Preprint Jul 2026

From Atoms to Entropy: Optimal Noise Allocation for Diffusion Training in the Convex Regime

A general statistical framework for studying asymptotically optimal noise-level allocation in diffusion training and an idealized independent-learner regime, intended to model temporal specialization in neural networks are developed.

Luca Ambrogioni, Giulio Franzese, Alberto Foresti et al. · 2 citations

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