Jary Pomponi

According to our database, Jary Pomponi authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Conditional computation in neural networks: principles and research trends.

Simone Scardapane, Alessandro Baiocchi, Alessio Devoto, Valerio Marsocci, Pasquale Minervini, Jary Pomponi

CoRR, 2024

Cascaded Scaling Classifier: class incremental learning with probability scaling.

Jary Pomponi, Alessio Devoto, Simone Scardapane

CoRR, 2024

NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks.

Matteo Gambella, Jary Pomponi, Simone Scardapane, Manuel Roveri

CoRR, 2024

2023

Continual learning with invertible generative models.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Neural Networks, July, 2023

Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models.

Jary Pomponi, Daniele Dántoni, Alessandro Nicolosi, Simone Scardapane

IEEE Access, 2023

2022

Centroids Matching: an efficient Continual Learning approach operating in the embedding space.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Trans. Mach. Learn. Res., 2022

A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Entropy, 2022

Pixle: a fast and effective black-box attack based on rearranging pixels.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Structured Ensembles: An approach to reduce the memory footprint of ensemble methods.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Neural Networks, 2021

Bayesian Neural Networks with Maximum Mean Discrepancy regularization.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Neurocomputing, 2021

Avalanche: an End-to-End Library for Continual Learning.

Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

CoRR, 2021

Avalanche: An End-to-End Library for Continual Learning.

Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

DeepRICH: learning deeply Cherenkov detectors.

Cristiano Fanelli, Jary Pomponi

Mach. Learn. Sci. Technol., 2020

Efficient continual learning in neural networks with embedding regularization.

Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini

Neurocomputing, 2020

Pseudo-Rehearsal for Continual Learning with Normalizing Flows.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

CoRR, 2020