Giulio Franzese

Assistant Professor

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I am an Assistant Professor in the Data Science department of EURECOM working on problems related to methodological and theoretical advancements in Machine Learning. I received both my Master and PhD from Politecnico di Torino in Electronic and Telecommunications Engineering in 2016 and 2021 respectively. My current topics of interest include Generative Models and Bayesian approaches to machine learning. In the past, I worked on signal processing applied to Satellite Navigation Systems. I am co-author of more than 20 scientific papers and industrial patents. Here is my full CV.


Giulio’s Publications

INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators

INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
Alberto Foresti, Giulio Franzese, Pietro Michiardi
CoRR (2025)

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In Praise of Stubbornness: The Case for Cognitive-Dissonance-Aware Knowledge Updates in LLMs

In Praise of Stubbornness: The Case for Cognitive-Dissonance-Aware Knowledge Updates in LLMs
Simone Clemente, Zied Ben-Houidi, Alexis Huet, Dario Rossi, Giulio Franzese, Pietro Michiardi
CoRR (2025)

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Latent Abstractions in Generative Diffusion Models

Latent Abstractions in Generative Diffusion Models
Giulio Franzese, Mattia Martini, Giulio Corallo, Paolo Papotti, Pietro Michiardi
CoRR (2024)

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Information Theoretic Text-to-Image Alignment

Information Theoretic Text-to-Image Alignment
Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro Michiardi
CoRR (2024)

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S: Score-based O-INFORMATION Estimation

S: Score-based O-INFORMATION Estimation
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024 (2024)

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MINDE: Mutual Information Neural Diffusion Estimation
Giulio Franzese, Mustapha Bounoua, Pietro Michiardi
The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024 (2024)

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Multi-Modal Latent Diffusion
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
Entropy (2024)

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ADROIT6G DAI-Driven Open and Programmable Architecture for 6G Networks

ADROIT6G DAI-Driven Open and Programmable Architecture for 6G Networks
Christophoros Christophorou, Iacovos Ioannou, Vasos Vassiliou, Loizos Christofi, John S. Vardakas, Erin E. Seder, Carla-Fabiana Chiasserini, Marius Iordache, Chaouki Ben Issaid, Ioannis Markopoulos, Giulio Franzese, Tanel Jarvet, Christos V. Verikoukis
IEEE Globecom Workshops 2023, Kuala Lumpur, Malaysia, December 4-8, 2023 (2023)

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One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)

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Continuous-Time Functional Diffusion Processes

Continuous-Time Functional Diffusion Processes
Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)

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Multi-View Latent Diffusion

Multi-View Latent Diffusion
Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023 (2023)

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How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
Entropy (2023)

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Revisiting the Effects of Stochasticity for Hamiltonian Samplers

Revisiting the Effects of Stochasticity for Hamiltonian Samplers
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA (2022)

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A Unified View of Stochastic Hamiltonian Sampling

A Unified View of Stochastic Hamiltonian Sampling
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
CoRR (2021)

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Generative DNA: Representation Learning for DNA-based Approximate Image Storage
Giulio Franzese, Yiqing Yan, Giuseppe Serra, Ivan D'Onofrio, Raja Appuswamy, Pietro Michiardi
International Conference on Visual Communications and Image Processing, VCIP 2021, Munich, Germany, December 5-8, 2021 (2021)

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A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
Entropy (2021)

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Probabilistic Ensemble of Deep Information Networks
Giulio Franzese, Monica Visintin
Entropy (2020)

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Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling

Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling
Giulio Franzese, Rosa Candela, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
CoRR (2020)

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Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD

Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD
Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi
CoRR (2019)

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Deep Information Networks

Deep Information Networks
Giulio Franzese, Monica Visintin
CoRR (2018)

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