| Searching relevant variable subsets in complex systems using k-means PSO G Silvestri, L Sani, M Amoretti, R Pecori, E Vicari, M Mordonini, S Cagnoni Artificial Life and Evolutionary Computation: 12th Italian Workshop, WIVACE …, 2018 | 16 | 2018 |
| Automatic variational inference with cascading flows L Ambrogioni, G Silvestri, M van Gerven International Conference on Machine Learning, 254-263, 2021 | 12 | 2021 |
| Deterministic training of generative autoencoders using invertible layers G Silvestri, D Roos, L Ambrogioni The Eleventh International Conference on Learning Representations, 2023 | 5 | 2023 |
| Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling G Silvestri, E Fertig, D Moore, L Ambrogioni International Conference on Learning Representations, 2022 | 5 | 2022 |
| Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson’s disease EC Klaver, IB Heijink, G Silvestri, JPP van Vugt, S Janssen, J Nonnekes, ... Frontiers in neurology 14, 1306129, 2023 | 2 | 2023 |
| Synthesizing eeg signals from event-related potential paradigms with conditional diffusion models G Klein, P Guetschel, G Silvestri, M Tangermann arXiv preprint arXiv:2403.18486, 2024 | 1 | 2024 |
| Consistency models with learned idempotent boundary conditions G Silvestri, L Ambrogioni ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024 | | 2024 |
| Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems G Silvestri, FV Massoli, T Orekondy, A Abdi, A Behboodi ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 2024 | | 2024 |
| One-Shot Neural Architecture Search for Deep Multi-Task Learning in Computer Vision G Silvestri | | 2020 |
