Jary Pomponi

According to our database, Jary Pomponi authored at least 22 papers between 2020 and 2025.

Collaborative distances:

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

2025

Adaptive Semantic Token Communication for Transformer-based Edge Inference.

Alessio Devoto, Jary Pomponi, Mattia Merluzzi, Paolo Di Lorenzo, Simone Scardapane

CoRR, May, 2025

Class Incremental Learning with probability dampening and cascaded gated classifier.

Jary Pomponi, Alessio Devoto, Simone Scardapane

Neurocomputing, 2025

Adaptive layer and token selection for efficient fine-tuning of vision transformers.

Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane

Neurocomputing, 2025

2024

Conditional computation in neural networks: Principles and research trends.

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

Intelligenza Artificiale, 2024

Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning.

Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane

CoRR, 2024

Joint or Disjoint: Mixing Training Regimes for Early-Exit Models.

Bartlomiej Krzepkowski, Monika Michaluk, Franciszek Szarwacki, Piotr Kubaty, Jary Pomponi, Tomasz Trzcinski, Bartosz Wójcik, Kamil Adamczewski

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

Adaptive Semantic Token Selection for AI-native Goal-oriented Communications.

Alessio Devoto, Jary Pomponi, Simone Petruzzi, Paolo Di Lorenzo, Simone Scardapane

Proceedings of the IEEE Globecom Workshops 2024, 2024

Goal-Oriented Communications Based on Recursive Early Exit Neural Networks.

Jary Pomponi, Mattia Merluzzi, Alessio Devoto, Mateus Pontes Mota, Paolo Di Lorenzo, Simone Scardapane

Proceedings of the 58th Asilomar Conference on Signals, 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