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ORCIDFrancesco D'Angelo
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2020 – today
- 2024
[c3]Sandeep Krishnan Nandialath Radhakrishnan, Stefano Passi, Alessandro Cabrini, Francesco D'Angelo, Alessandro Nicolosi, Luca Iannelli:
Design and Modellization of a Neural Network Used to Optimize and to Monitor a DC-DC Converter. PRIME 2024: 1-4- 2023
- [i9]Maksym Andriushchenko, Francesco D'Angelo, Aditya Varre, Nicolas Flammarion:
Why Do We Need Weight Decay in Modern Deep Learning? CoRR abs/2310.04415 (2023) - 2021
- [c2]Francesco D'Angelo, Vincent Fortuin
:
Repulsive Deep Ensembles are Bayesian. NeurIPS 2021: 3451-3465 - [c1]Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, Benjamin F. Grewe, João Sacramento:
Posterior Meta-Replay for Continual Learning. NeurIPS 2021: 14135-14149 - [i8]Francesco D'Angelo, Vincent Fortuin:
Annealed Stein Variational Gradient Descent. CoRR abs/2101.09815 (2021) - [i7]Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, João Sacramento, Benjamin F. Grewe:
Posterior Meta-Replay for Continual Learning. CoRR abs/2103.01133 (2021) - [i6]Francesco D'Angelo, Vincent Fortuin, Florian Wenzel:
On Stein Variational Neural Network Ensembles. CoRR abs/2106.10760 (2021) - [i5]Francesco D'Angelo, Vincent Fortuin:
Repulsive Deep Ensembles are Bayesian. CoRR abs/2106.11642 (2021) - [i4]Christian Henning, Francesco D'Angelo, Benjamin F. Grewe:
Are Bayesian neural networks intrinsically good at out-of-distribution detection? CoRR abs/2107.12248 (2021) - [i3]Francesco D'Angelo, Christian Henning:
Uncertainty-based out-of-distribution detection requires suitable function space priors. CoRR abs/2110.06020 (2021) - [i2]Maria R. Cervera, Rafael Dätwyler, Francesco D'Angelo, Hamza Keurti, Benjamin F. Grewe, Christian Henning:
Uncertainty estimation under model misspecification in neural network regression. CoRR abs/2111.11763 (2021) - 2020
- [i1]Francesco D'Angelo, Lucas Böttcher:
Learning the Ising Model with Generative Neural Networks. CoRR abs/2001.05361 (2020)
2010 – 2019
- 2011
- [j1]Filippo Mattoli, Roberto Tiribuzi, Francesco D'Angelo, Ilaria di Girolamo, Mattia Quattrocelli, Simona Montesano, Lucia Crispoltoni, Vasileios Oikonomou, Maria Gabriella Cusella De Angelis, Peggy C. Marconi, Antonio N. Orlacchio, Sampaolesi Maurilio, Sabata Martino, Aldo Orlacchio:
Development of a New Tool for 3D Modeling for Regenerative Medicine. Int. J. Biomed. Imaging 2011: 236854:1-236854:13 (2011)
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