Giulio Franzese

According to our database, Giulio Franzese authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SΩI: Score-based O-INFORMATION Estimation.

Mustapha Bounoua, Giulio Franzese, Pietro Michiardi

CoRR, 2024

2023

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, April, 2023

MINDE: Mutual Information Neural Diffusion Estimation.

Giulio Franzese, Mustapha Bounoua, Pietro Michiardi

CoRR, 2023

Multi-modal Latent Diffusion.

Mustapha Bounoua, Giulio Franzese, Pietro Michiardi

CoRR, 2023

Continuous-Time Functional Diffusion Processes.

Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi

CoRR, 2023

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

Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continuous-Time Functional Diffusion Processes.

Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Christos V. Verikoukis

Proceedings of the IEEE Globecom Workshops 2023, 2023

Multi-View Latent Diffusion.

Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Revisiting the Effects of Stochasticity for Hamiltonian Samplers.

Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi

Proceedings of the International Conference on Machine Learning, 2022

2021

A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization.

Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi

Entropy, 2021

A Unified View of Stochastic Hamiltonian Sampling.

Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi

CoRR, 2021

Generative DNA: Representation Learning for DNA-based Approximate Image Storage.

Giulio Franzese, Yiqing Yan, Giuseppe Serra, Ivan D'Onofrio, Raja Appuswamy, Pietro Michiardi

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

2020

Probabilistic Ensemble of Deep Information Networks.

Giulio Franzese, Monica Visintin

Entropy, 2020

Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling.

Giulio Franzese, Rosa Candela, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi

CoRR, 2020

2019

Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD.

Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi

CoRR, 2019

2018

Deep Information Networks.

Giulio Franzese, Monica Visintin

CoRR, 2018