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

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

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

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

Generative DNA: Representation Learning for DNA-based Approximate Image Storage. - Giulio Franzese; Yiqing Yan; Giuseppe Serra 003; Ivan D'Onofrio; Raja Appuswamy; Pietro Michiardi (VCIP, 2021)

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

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

Revisiting the Effects of Stochasticity for Hamiltonian Samplers. - Giulio Franzese; Dimitrios Milios; Maurizio Filippone; Pietro Michiardi (ICML, 2022)

Multi-View Latent Diffusion. - Giuseppe Di Giacomo; Giulio Franzese; Tania Cerquitelli; Carla-Fabiana Chiasserini; Pietro Michiardi (IEEE Big Data, 2023)

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 Järvet; et al. (GLOBECOM (Workshops), 2023)

Continuous-Time Functional Diffusion Processes. - Giulio Franzese; Giulio Corallo; Simone Rossi 001; Markus Heinonen; Maurizio Filippone; Pietro Michiardi (NeurIPS, 2023)

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. - Ba-Hien Tran; Giulio Franzese; Pietro Michiardi; Maurizio Filippone (NeurIPS, 2023)

Continuous-Time Functional Diffusion Processes. - Giulio Franzese; Simone Rossi 001; Dario Rossi 001; Markus Heinonen; Maurizio Filippone; Pietro Michiardi (CoRR, 2023)

How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models. - Giulio Franzese; Simone Rossi 001; Lixuan Yang; Alessandro Finamore; Dario Rossi 001; Maurizio Filippone; Pietro Michiardi (Entropy, 2023)

DiMViDA: Diffusion-Based Multi-View Data Augmentation. - Giuseppe Di Giacomo; Giulio Franzese; Tania Cerquitelli; Carla-Fabiana Chiasserini; Pietro Michiardi (CAMAD, 2024)

MINDE: Mutual Information Neural Diffusion Estimation. - Giulio Franzese; Mustapha Bounoua; Pietro Michiardi (ICLR, 2024)

SΩI: Score-based O-INFORMATION Estimation. - Mustapha Bounoua; Giulio Franzese; Pietro Michiardi (ICML, 2024)

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

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

Information Theoretic Text-to-Image Alignment. - Chao Wang 103; Giulio Franzese; Alessandro Finamore; Massimo Gallo; Pietro Michiardi (ICLR, 2025)

In Praise of Stubbornness: The Case for Cognitive-Dissonance-Aware Knowledge Updates in LLMs. - Simone Clemente; Zied Ben-Houidi; Alexis Huet; Dario Rossi 001; Giulio Franzese; Pietro Michiardi (CoRR, 2025)

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

Learning to Match Unpaired Data with Minimum Entropy Coupling. - Mustapha Bounoua; Giulio Franzese; Pietro Michiardi (CoRR, 2025)

RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment. - Chao Wang 103; Giulio Franzese; Alessandro Finamore; Pietro Michiardi (CoRR, 2025)

Scaling Laws for Uncertainty in Deep Learning. - Mattia Rosso; Simone Rossi 001; Giulio Franzese; Markus Heinonen; Maurizio Filippone (CoRR, 2025)