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 (WIVACE, 2017)

Automatic variational inference with cascading flows. - Luca Ambrogioni; Gianluigi Silvestri; Marcel van Gerven (ICML, 2021)

Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling. - Gianluigi Silvestri; Emily Fertig; Dave Moore; Luca Ambrogioni (ICLR, 2022)

Closing the gap: Exact maximum likelihood training of generative autoencoders using invertible layers. - Gianluigi Silvestri; Daan Roos; Luca Ambrogioni (CoRR, 2022)

Deterministic training of generative autoencoders using invertible layers. - Gianluigi Silvestri; Daan Roos; Luca Ambrogioni (ICLR, 2023)

Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models. - Guido Klein; Pierre Guetschel; Gianluigi Silvestri; Michael Tangermann (CoRR, 2024)

Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems. - Gianluigi Silvestri; Fabio Valerio Massoli; Tribhuvanesh Orekondy; Afshin Abdi; Arash Behboodi (CoRR, 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)

Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion. - Enrico Ventura; Beatrice Achilli; Gianluigi Silvestri; Carlo Lucibello; Luca Ambrogioni (ICLR, 2025)

Training Consistency Models with Variational Noise Coupling. - Gianluigi Silvestri; Luca Ambrogioni; Chieh-Hsin Lai; Yuhta Takida; Yuki Mitsufuji (CoRR, 2025)

CoVAE: Consistency Training of Variational Autoencoders. - Gianluigi Silvestri; Luca Ambrogioni (CoRR, 2025)