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Giulio Franzese
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2020 – today
- 2024
- [j4]Mustapha Bounoua
, Giulio Franzese
Multi-Modal Latent Diffusion. Entropy 26(4): 320 (2024) - [c8]Giulio Franzese, Mustapha Bounoua, Pietro Michiardi:
MINDE: Mutual Information Neural Diffusion Estimation. ICLR 2024 - [c7]Mustapha Bounoua, Giulio Franzese, Pietro Michiardi:
SΩI: Score-based O-INFORMATION Estimation. ICML 2024 - [i13]Mustapha Bounoua, Giulio Franzese, Pietro Michiardi:
SΩI: Score-based O-INFORMATION Estimation. CoRR abs/2402.05667 (2024) - [i12]Christophoros Christophorou, Iacovos Ioannou, Vasos Vassiliou, Loizos Christofi, John S. Vardakas, Erin E. Seder
ADROIT6G DAI-driven Open and Programmable Architecture for 6G Networks. CoRR abs/2403.05277 (2024) - [i11]Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro Michiardi:
Information Theoretic Text-to-Image Alignment. CoRR abs/2405.20759 (2024) - [i10]Giulio Franzese, Mattia Martini, Giulio Corallo, Paolo Papotti, Pietro Michiardi:
Latent Abstractions in Generative Diffusion Models. CoRR abs/2410.03368 (2024) - 2023
- [j3]Giulio Franzese
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models. Entropy 25(4): 633 (2023) - [c6]Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi:
Multi-View Latent Diffusion. IEEE Big Data 2023: 6152-6154 - [c5]Christophoros Christophorou, Iacovos Ioannou, Vasos Vassiliou, Loizos Christofi, John S. Vardakas, Erin E. Seder
ADROIT6G DAI-Driven Open and Programmable Architecture for 6G Networks. GLOBECOM (Workshops) 2023: 744-750 - [c4]Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi:
Continuous-Time Functional Diffusion Processes. NeurIPS 2023 - [c3]Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone:
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. NeurIPS 2023 - [i9]Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi:
Continuous-Time Functional Diffusion Processes. CoRR abs/2303.00800 (2023) - [i8]Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone:
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. CoRR abs/2305.18900 (2023) - [i7]Mustapha Bounoua, Giulio Franzese, Pietro Michiardi:
Multi-modal Latent Diffusion. CoRR abs/2306.04445 (2023) - [i6]Giulio Franzese, Mustapha Bounoua, Pietro Michiardi:
MINDE: Mutual Information Neural Diffusion Estimation. CoRR abs/2310.09031 (2023) - 2022
- [c2]Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi:
Revisiting the Effects of Stochasticity for Hamiltonian Samplers. ICML 2022: 6744-6778 - [i5]Giulio Franzese, Simone Rossi
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models. CoRR abs/2206.05173 (2022) - 2021
- [j2]Giulio Franzese
A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization. Entropy 23(11): 1426 (2021) - [c1]Giulio Franzese, Yiqing Yan, Giuseppe Serra
Generative DNA: Representation Learning for DNA-based Approximate Image Storage. VCIP 2021: 1-5 - [i4]Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi:
A Unified View of Stochastic Hamiltonian Sampling. CoRR abs/2106.16200 (2021) - 2020
- [j1]Giulio Franzese
Probabilistic Ensemble of Deep Information Networks. Entropy 22(1): 100 (2020) - [i3]Giulio Franzese, Rosa Candela, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi:
Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling. CoRR abs/2006.05087 (2020)
2010 – 2019
- 2019
- [i2]Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi:
Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD. CoRR abs/1910.09466 (2019) - 2018
- [i1]Giulio Franzese, Monica Visintin:
Deep Information Networks. CoRR abs/1803.02251 (2018)
Coauthor Index
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