Gianluigi Silvestri

16 papers A* 5Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning from Partial Chain-of-Thought via Truncated-Reasoning Self-Distillation. CoRR Gianluigi Silvestri, Edoardo Cetin
2025	J	`jnl`	CoVAE: Consistency Training of Variational Autoencoders. CoRR Gianluigi Silvestri, Luca Ambrogioni
2025	A*	`conf`	Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion. ICLR Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni
2025	J	`jnl`	Training Consistency Models with Variational Noise Coupling. CoRR Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji
2025	A*	`conf`	VCT: Training Consistency Models with Variational Noise Coupling. ICML Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji
2024	J	`jnl`	Losing dimensions: Geometric memorization in generative diffusion. CoRR Beatrice Achilli, Enrico Ventura, Gianluigi Silvestri, Bao Pham, Gabriel Raya, Dmitry Krotov, Carlo Lucibello, Luca Ambrogioni
2024	J	`jnl`	Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion. CoRR Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni
2024	J	`jnl`	Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems. CoRR Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi
2024	J	`jnl`	Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models. CoRR Guido Klein, Pierre Guetschel, Gianluigi Silvestri, Michael Tangermann
2023	A*	`conf`	Deterministic training of generative autoencoders using invertible layers. ICLR Gianluigi Silvestri, Daan Roos, Luca Ambrogioni
2022	J	`jnl`	Closing the gap: Exact maximum likelihood training of generative autoencoders using invertible layers. CoRR Gianluigi Silvestri, Daan Roos, Luca Ambrogioni
2022	A*	`conf`	Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling. ICLR Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni
2021	A*	`conf`	Automatic variational inference with cascading flows. ICML Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven
2021	J	`jnl`	Automatic variational inference with cascading flows. CoRR Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven
2021	J	`jnl`	Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling. CoRR Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni
2017	—	`conf`	Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO. WIVACE Gianluigi Silvestri, Laura Sani, Michele Amoretti, Riccardo Pecori, Emilio Vicari, Monica Mordonini, Stefano Cagnoni