1. FRANZESE Giulio
  2. FRANZESE Giulio
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FRANZESE Giulio

Conference

Galeano Munoz, Simon Pedro; Bounoua, Mustapha; Franzese, Giulio; Michiardi, Pietro; Filippone, Maurizio

TENDE: Transfer entropy neural diffusion estimation

AISTATS 2026, 29th Annual Conference on Artificial Intelligence and Statistics, 2-5 May 2026, Tangier, Morocco
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ARXIV
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Talk

Franzese, Giulio

Estimation of mutual information using diffusion processes

Keynote talk in Bordeaux School of Neurosciences, Frontiers in Neural Organoids Modelling, 13 April-1 May 2026, Bordeaux, France
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Poster / Demo

Rosso, Mattia; Rossi, Simone; Franzese, Giulio; Heinonen, Markus; Filippone, Maurizio

Scaling laws for uncertainty in deep learning

EIML 2025, Epistemic Intelligence in Machine Learning, 6 December 2025, Copenhagen, Denmark
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Document
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Talk

Franzese, Giulio

Mutual information and (Generative) diffusion processes

Invited talk at Politecnico di Torino, 25 November 2025, Torino, Italy
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Conference

Bounoua, Mustapha; Franzese, Giulio; Michiardi, Pietro

Learning to match unpaired data with minimum entropy coupling

ICML 2025, 42nd International Conference on Machine Learning, 13-19 July 2025, Vancouver, Canada
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ARXIV
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Journal

Franzese, Giulio; Michiardi, Pietro

Generative diffusion models in infinite dimensions: A survey

Philosophical Transactions of the Royal Society A, 19 June 2025, Volume 383, N°2299
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Document
DOI
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Talk

Franzese, Giulio

On the interplay between mutual information and diffusion processes

Workshop on Geometry in Data: Statistical Inference and Methodology, 16-18 June 2025, Nantes, France

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Report

Rosso, Mattia; Rossi, Simone; Franzese, Giulio; Heinonen, Markus; Filippone, Maurizio

Scaling laws for uncertainty in deep learning

Submitted to ArXiV, 11 June 2025
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ARXIV
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Invited paper in a conference

Franzese, Giulio

On the interplay between mutual information and diffusion processes

G-STAI 2025, Geometry for Statistics and AI Conference, 6-9 May 2025, Lesbos, Greece
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Conference

Foresti, Alberto; Franzese, Giulio; Michiardi, Pietro

Info-SEDD: continuous time markov chains as scalable information metrics estimators

ICLR 2025, DeLTa Workshop, Deep Generative Model in Machine Learning:
Theory, Principle and Efficacy, 28 April 2025, Singapore, Singapore
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ARXIV
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