Francesco D'Angelo

20 papers A* 4C 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exact Learning of Arithmetic with Differentiable Agents.
CoRR
Hristo Papazov, Francesco D'Angelo, Nicolas Flammarion
2025 J jnl
High Time-Resolution PWM Generator for GaN Converters.
IEEE Trans. Circuits Syst. II Express Briefs
Michelangelo Orabona, Stefano Passi, Andrea Gambero, Roberto Bardelli, Francesco D'Angelo
2025 C conf
High Time-Resolution PWM generator for GaN Converters.
ISCAS
Michelangelo Orabona, Stefano Passi, Andrea Gambero, Roberto Bardelli, Francesco D'Angelo
2025 J jnl
Selective Induction Heads: How Transformers Select Causal Structures In Context.
CoRR
Francesco D'Angelo, Francesco Croce, Nicolas Flammarion
2025 A* conf
Selective induction Heads: How Transformers Select Causal Structures in Context.
ICLR
Francesco D'Angelo, Francesco Croce, Nicolas Flammarion
2025 J jnl
The emergence of sparse attention: impact of data distribution and benefits of repetition.
CoRR
Nicolas Zucchet, Francesco D'Angelo, Andrew K. Lampinen, Stephanie C. Y. Chan
2024 — conf
Design and Modellization of a Neural Network Used to Optimize and to Monitor a DC-DC Converter.
PRIME
Sandeep Krishnan Nandialath Radhakrishnan, Stefano Passi, Alessandro Cabrini, Francesco D'Angelo, Alessandro Nicolosi, Luca Iannelli
2024 A* conf
Why Do We Need Weight Decay in Modern Deep Learning?
NeurIPS
Francesco D'Angelo, Maksym Andriushchenko, Aditya Vardhan Varre, Nicolas Flammarion
2023 J jnl
Why Do We Need Weight Decay in Modern Deep Learning?
CoRR
Maksym Andriushchenko, Francesco D'Angelo, Aditya Varre, Nicolas Flammarion
2021 J jnl
Annealed Stein Variational Gradient Descent.
CoRR
Francesco D'Angelo, Vincent Fortuin
2021 J jnl
Are Bayesian neural networks intrinsically good at out-of-distribution detection?
CoRR
Christian Henning, Francesco D'Angelo, Benjamin F. Grewe
2021 J jnl
On Stein Variational Neural Network Ensembles.
CoRR
Francesco D'Angelo, Vincent Fortuin, Florian Wenzel
2021 A* conf
Posterior Meta-Replay for Continual Learning.
NeurIPS
Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, Benjamin F. Grewe, João Sacramento
2021 J jnl
Posterior Meta-Replay for Continual Learning.
CoRR
Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, João Sacramento, Benjamin F. Grewe
2021 A* conf
Repulsive Deep Ensembles are Bayesian.
NeurIPS
Francesco D'Angelo, Vincent Fortuin
2021 J jnl
Repulsive Deep Ensembles are Bayesian.
CoRR
Francesco D'Angelo, Vincent Fortuin
2021 J jnl
Uncertainty estimation under model misspecification in neural network regression.
CoRR
Maria R. Cervera, Rafael Dätwyler, Francesco D'Angelo, Hamza Keurti, Benjamin F. Grewe, Christian Henning
2021 J jnl
Uncertainty-based out-of-distribution detection requires suitable function space priors.
CoRR
Francesco D'Angelo, Christian Henning
2020 J jnl
Learning the Ising Model with Generative Neural Networks.
CoRR
Francesco D'Angelo, Lucas Böttcher
2011 J jnl
Development of a New Tool for 3D Modeling for Regenerative Medicine.
Int. J. Biomed. Imaging
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