Sfoglia per Autore
Machine Learning: A Constraint-Based Approach
2024-01-01 Gori, M.; Betti, A.; Melacci, S.
Neural Time-Reversed Generalized Riccati Equation
2024-01-01 Betti, Alessandro; Casoni, Michele; Gori, Marco; Marullo, Simone; Melacci, Stefano; Tiezzi, Matteo
Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data
2024-01-01 Casoni, Michele; Guidi, Tommaso; Tiezzi, Matteo; Betti, Alessandro; Gori, Marco; Melacci, Stefano
Continual Neural Computation
2024-01-01 Tiezzi, Matteo; Marullo, Simone; Becattini, Federico; Melacci, Stefano
Logic Explained Networks
2023-01-01 Ciravegna, Gabriele; Barbiero, Pietro; Giannini, Francesco; Gori, Marco; Liò, Pietro; Maggini, Marco; Melacci, Stefano
Learning Logic Explanations by Neural Networks
2023-01-01 Ciravegna, Gabriele; Giannini, Francesco; Barbiero, Pietro; Gori, Marco; Lio, Pietro; Maggini, Marco; Melacci, Stefano
Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning
2023-01-01 Betti, A.; Ciravegna, G.; Gori, M.; Melacci, S.; Mottin, K.; Precioso, F.
Local propagation of visual stimuli in focus of attention
2023-01-01 Faggi, Lapo; Betti, Alessandro; Zanca, Dario; Melacci, Stefano; Gori, Marco
Logic Explained Networks
2023-01-01 Ciravegna, G.; Barbiero, P.; Giannini, F.; Gori, M.; Lio, P.; Maggini, M.; Melacci, S.
Continual Learning with Pretrained Backbones by Tuning in the Input Space
2023-01-01 Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano; Tuytelaars, Tinne
Foveated Neural Computation
2023-01-01 Tiezzi, M.; Marullo, S.; Betti, A.; Meloni, E.; Faggi, L.; Gori, M.; Melacci, S.
Deep Learning to See - Towards New Foundations of Computer Vision
2022-01-01 Betti, Alessandro; Gori, Marco; Melacci, Stefano
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
2022-01-01 Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano
Entropy-Based Logic Explanations of Neural Networks
2022-01-01 Barbiero, Pietro; Ciravegna, Gabriele; Giannini, Francesco; Lió, Pietro; Gori, Marco; Melacci, Stefano
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
2022-01-01 Tiezzi, M.; Marullo, S.; Faggi, L.; Meloni, E.; Betti, A.; Melacci, S.
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers
2022-01-01 Melacci, S.; Ciravegna, G.; Sotgiu, A.; Demontis, A.; Biggio, B.; Gori, M.; Roli, F.
Deep Constraint-based Propagation in Graph Neural Networks
2022-01-01 Tiezzi, M.; Marra, G.; Melacci, S.; Maggini, M.
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
2022-01-01 Espinosa Zarlenga, Mateo; Barbiero, Pietro; Ciravegna, Gabriele; Marra, Giuseppe; Giannini, Francesco; Diligenti, Michelangelo; Shams, Zohreh; Precioso, Frederic; Melacci, Stefano; Weller, Adrian; Lió, Pietro; Jamnik, Mateja
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks
2022-01-01 Marullo, Simone; Tiezzi, Matteo; Betti, Alessandro; Faggi, Lapo; Meloni, Enrico; Melacci, Stefano
Continual Learning through Hamilton Equations
2022-01-01 Betti, Alessandro; Faggi, Lapo; Gori, Marco; Tiezzi, Matteo; Marullo, Simone; Meloni, Enrico; Melacci, Stefano
Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
---|---|---|---|---|
Machine Learning: A Constraint-Based Approach | 1-gen-2024 | Gori, M.; Betti, A.; Melacci, S. | - | |
Neural Time-Reversed Generalized Riccati Equation | 1-gen-2024 | Betti, Alessandro; Casoni, Michele; Gori, Marco; Marullo, Simone; Melacci, Stefano; Tiezzi, Matteo | - | |
Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data | 1-gen-2024 | Casoni, Michele; Guidi, Tommaso; Tiezzi, Matteo; Betti, Alessandro; Gori, Marco; Melacci, Stefano | - | |
Continual Neural Computation | 1-gen-2024 | Tiezzi, Matteo; Marullo, Simone; Becattini, Federico; Melacci, Stefano | - | |
Logic Explained Networks | 1-gen-2023 | Ciravegna, Gabriele; Barbiero, Pietro; Giannini, Francesco; Gori, Marco; Liò, Pietro; Maggini, Marco; Melacci, Stefano | - | |
Learning Logic Explanations by Neural Networks | 1-gen-2023 | Ciravegna, Gabriele; Giannini, Francesco; Barbiero, Pietro; Gori, Marco; Lio, Pietro; Maggini, Marco; Melacci, Stefano | - | |
Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning | 1-gen-2023 | Betti, A.; Ciravegna, G.; Gori, M.; Melacci, S.; Mottin, K.; Precioso, F. | - | |
Local propagation of visual stimuli in focus of attention | 1-gen-2023 | Faggi, Lapo; Betti, Alessandro; Zanca, Dario; Melacci, Stefano; Gori, Marco | - | |
Logic Explained Networks | 1-gen-2023 | Ciravegna, G.; Barbiero, P.; Giannini, F.; Gori, M.; Lio, P.; Maggini, M.; Melacci, S. | - | |
Continual Learning with Pretrained Backbones by Tuning in the Input Space | 1-gen-2023 | Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano; Tuytelaars, Tinne | - | |
Foveated Neural Computation | 1-gen-2023 | Tiezzi, M.; Marullo, S.; Betti, A.; Meloni, E.; Faggi, L.; Gori, M.; Melacci, S. | - | |
Deep Learning to See - Towards New Foundations of Computer Vision | 1-gen-2022 | Betti, Alessandro; Gori, Marco; Melacci, Stefano | - | |
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks | 1-gen-2022 | Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano | - | |
Entropy-Based Logic Explanations of Neural Networks | 1-gen-2022 | Barbiero, Pietro; Ciravegna, Gabriele; Giannini, Francesco; Lió, Pietro; Gori, Marco; Melacci, Stefano | - | |
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams | 1-gen-2022 | Tiezzi, M.; Marullo, S.; Faggi, L.; Meloni, E.; Betti, A.; Melacci, S. | - | |
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers | 1-gen-2022 | Melacci, S.; Ciravegna, G.; Sotgiu, A.; Demontis, A.; Biggio, B.; Gori, M.; Roli, F. | - | |
Deep Constraint-based Propagation in Graph Neural Networks | 1-gen-2022 | Tiezzi, M.; Marra, G.; Melacci, S.; Maggini, M. | - | |
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off | 1-gen-2022 | Espinosa Zarlenga, Mateo; Barbiero, Pietro; Ciravegna, Gabriele; Marra, Giuseppe; Giannini, Francesco; Diligenti, Michelangelo; Shams, Zohreh; Precioso, Frederic; Melacci, Stefano; Weller, Adrian; Lió, Pietro; Jamnik, Mateja | - | |
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks | 1-gen-2022 | Marullo, Simone; Tiezzi, Matteo; Betti, Alessandro; Faggi, Lapo; Meloni, Enrico; Melacci, Stefano | - | |
Continual Learning through Hamilton Equations | 1-gen-2022 | Betti, Alessandro; Faggi, Lapo; Gori, Marco; Tiezzi, Matteo; Marullo, Simone; Meloni, Enrico; Melacci, Stefano | - |
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