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Gianluigi Silvestri
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2020 – today
- 2024
- [i4]Guido Klein, Pierre Guetschel, Gianluigi Silvestri, Michael Tangermann:
Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models. CoRR abs/2403.18486 (2024) - 2023
- [c4]Gianluigi Silvestri, Daan Roos, Luca Ambrogioni:
Deterministic training of generative autoencoders using invertible layers. ICLR 2023 - 2022
- [c3]Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni:
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling. ICLR 2022 - [i3]Gianluigi Silvestri, Daan Roos, Luca Ambrogioni:
Closing the gap: Exact maximum likelihood training of generative autoencoders using invertible layers. CoRR abs/2205.09546 (2022) - 2021
- [c2]Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven:
Automatic variational inference with cascading flows. ICML 2021: 254-263 - [i2]Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven:
Automatic variational inference with cascading flows. CoRR abs/2102.04801 (2021) - [i1]Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni:
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling. CoRR abs/2110.06021 (2021)
2010 – 2019
- 2017
- [c1]Gianluigi Silvestri, Laura Sani, Michele Amoretti, Riccardo Pecori, Emilio Vicari, Monica Mordonini, Stefano Cagnoni:
Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO. WIVACE 2017: 308-321
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last updated on 2024-04-25 05:42 CEST by the dblp team
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