Francesco D'Angelo

According to our database, Francesco D'Angelo authored at least 16 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Transformers Learn Latent Mixture Models In-Context via Mirror Descent.

Francesco D'Angelo, Nicolas Flammarion

CoRR, April, 2026

2025

Exact Learning of Arithmetic with Differentiable Agents.

Hristo Papazov, Francesco D'Angelo, Nicolas Flammarion

CoRR, November, 2025

The emergence of sparse attention: impact of data distribution and benefits of repetition.

Nicolas Zucchet, Francesco D'Angelo, Andrew K. Lampinen, Stephanie C. Y. Chan

CoRR, May, 2025

High Time-Resolution PWM generator for GaN Converters.

Michelangelo Orabona, Stefano Passi, Andrea Gambero, Roberto Bardelli, Francesco D'Angelo

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Selective induction Heads: How Transformers Select Causal Structures in Context.

Francesco D'Angelo, Francesco Croce, Nicolas Flammarion

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Design and Modellization of a Neural Network Used to Optimize and to Monitor a DC-DC Converter.

Sandeep Krishnan Nandialath Radhakrishnan, Stefano Passi, Alessandro Cabrini, Francesco D'Angelo, Alessandro Nicolosi, Luca Iannelli

Proceedings of the 19th Conference on Ph.D Research in Microelectronics and Electronics, 2024

Why Do We Need Weight Decay in Modern Deep Learning?

Francesco D'Angelo, Maksym Andriushchenko, Aditya Vardhan Varre, Nicolas Flammarion

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

Uncertainty estimation under model misspecification in neural network regression.

Maria R. Cervera, Rafael Dätwyler, Francesco D'Angelo, Hamza Keurti, Benjamin F. Grewe, Christian Henning

CoRR, 2021

Uncertainty-based out-of-distribution detection requires suitable function space priors.

Francesco D'Angelo, Christian Henning

CoRR, 2021

Are Bayesian neural networks intrinsically good at out-of-distribution detection?

Christian Henning, Francesco D'Angelo, Benjamin F. Grewe

CoRR, 2021

On Stein Variational Neural Network Ensembles.

Francesco D'Angelo, Vincent Fortuin, Florian Wenzel

CoRR, 2021

Annealed Stein Variational Gradient Descent.

Francesco D'Angelo, Vincent Fortuin

CoRR, 2021

Posterior Meta-Replay for Continual Learning.

Christian Henning, Maria R. Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, Benjamin F. Grewe, João Sacramento

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Repulsive Deep Ensembles are Bayesian.

Francesco D'Angelo, Vincent Fortuin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning the Ising Model with Generative Neural Networks.

Francesco D'Angelo, Lucas Böttcher

CoRR, 2020

2011

Development of a New Tool for 3D Modeling for Regenerative Medicine.

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

Int. J. Biomed. Imaging, 2011