1. FRANZESE Giulio
  2. FRANZESE Giulio
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FRANZESE Giulio

Rapport

Ambrogioni, Luca; Franzese, Giulio; Foresti, Alberto; Raya, Gabriel; Nguyen, Bac; Batzolis, Georgios; Takida, Yuhta; Murata, Naoki; Lai, Chieh-Hsin; Mitsufuji, Yuki

From atoms to entropy: Optimal noise allocation for diffusion training in the convex regime

Submitted to ArXiV, 10 July 2026
Detail
ARXIV
BIBTEX

Poster / Demo

Wang, Chao; Nepote, Luca; Franzese, Giulio; Michiardi, Pietro

Relative entropy estimation in function space: Theory and applications to trajectory inference

ICML 2026, 43rd International Conference on Machine Learning, 6-11 July 2026, Seoul, South Korea
Detail
ARXIV
BIBTEX

Rapport

Foresti, Alberto; Franzese, Giulio; Michiardi, Pietro; Butakov, Ivan; Tolmachev, Alexander; Frolov, Alexey

Towards diverse and comprehensive benchmarks for mutual information estimation

Submitted to ArXiV, 3 July 2026
Detail
ARXIV
BIBTEX

Rapport

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

DIPHINE: Diffusion-based F-ID neural estimator

Submitted to ArXiV, 17 June 2026
Detail
ARXIV
BIBTEX

Conférence

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
Detail
ARXIV
BIBTEX

Conférence

Foresti, Alberto; Franzese, Giulio; Michiardi, Pietro

Information estimation with discrete diffusion

ICLR 2026, 14th International Conference on Learning Representations, 23-27 April 2026, Rio de Janeiro, Brazil
Detail
Document
BIBTEX

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
Detail
BIBTEX

Rapport

Alberto Foresti, Mustapha Bounoua, Giulio Franzese, Luca Ambrogioni, Pietro Michiardi

Improved Sampling Schedules for Discrete Diffusion Models

Submitted to ArXiV, 6 February 2026
Detail
ARXIV
BIBTEX

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
Detail
Document
BIBTEX

Talk

Franzese, Giulio

Mutual information and (Generative) diffusion processes

Invited talk at Politecnico di Torino, 25 November 2025, Torino, Italy
Detail
BIBTEX