Emanuele Frascaroli

According to our database, Emanuele Frascaroli authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Modular Embedding Recomposition for Incremental Learning.

Aniello Panariello, Emanuele Frascaroli, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

CoRR, August, 2025

Un viaggio nello lo spazio latente di modelli ad apprendimento continuo.

Emanuele Frascaroli

PhD thesis, 2025

2024

Latent spectral regularization for continual learning.

Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara

Pattern Recognit. Lett., 2024

An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning.

Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

Proceedings of the Machine Learning, Optimization, and Data Science, 2024

Semantic Residual Prompts for Continual Learning.

Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

Proceedings of the Computer Vision - ECCV 2024, 2024

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning.

Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

Proceedings of the 35th British Machine Vision Conference, 2024

2023

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning.

Lorenzo Bonicelli, Matteo Boschini, Emanuele Frascaroli, Angelo Porrello, Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Simone Calderara

CoRR, 2023

CaSpeR: Latent Spectral Regularization for Continual Learning.

Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara

CoRR, 2023