Gianluigi Silvestri

According to our database, Gianluigi Silvestri authored at least 11 papers between 2017 and 2025.

Collaborative distances:

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

2025

CoVAE: Consistency Training of Variational Autoencoders.

Gianluigi Silvestri, Luca Ambrogioni

CoRR, July, 2025

Training Consistency Models with Variational Noise Coupling.

Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji

CoRR, February, 2025

Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion.

Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Losing dimensions: Geometric memorization in generative diffusion.

Beatrice Achilli, Enrico Ventura, Gianluigi Silvestri, Bao Pham, Gabriel Raya, Dmitry Krotov, Carlo Lucibello, Luca Ambrogioni

CoRR, 2024

Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems.

Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi

CoRR, 2024

Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models.

Guido Klein, Pierre Guetschel, Gianluigi Silvestri, Michael Tangermann

CoRR, 2024

2023

Deterministic training of generative autoencoders using invertible layers.

Gianluigi Silvestri, Daan Roos, Luca Ambrogioni

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Closing the gap: Exact maximum likelihood training of generative autoencoders using invertible layers.

Gianluigi Silvestri, Daan Roos, Luca Ambrogioni

CoRR, 2022

Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling.

Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Automatic variational inference with cascading flows.

Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven

Proceedings of the 38th International Conference on Machine Learning, 2021

2017

Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO.

Gianluigi Silvestri, Laura Sani, Michele Amoretti, Riccardo Pecori, Emilio Vicari, Monica Mordonini, Stefano Cagnoni

Proceedings of the Artificial Life and Evolutionary Computation - 12th Italian Workshop, 2017