IIT Publications Search

Pubblicazioni
2026
Tiezzi M., Casoni M., Betti A., Gori M., Melacci S.
State-space modeling in long sequence processing: a survey on recurrence in the transformer era
Neural Networks, vol. 193
DOI 10.1016/j.neunet.2025.108039 Review Journal
2025
Tiezzi M., Casoni M., Betti A., Guidi T., Gori M., Melacci S.
Back to recurrent processing at the crossroad of transformers and state-space models
Nature Machine Intelligence
DOI 10.1038/s42256-025-01034-6 Review Journal
2025
Marullo S., Tiezzi M., Gori M., Melacci S.
Continual learning of conjugated visual representations through higher-order motion flows
Neural Networks, vol. 187
DOI 10.1016/j.neunet.2025.107296 Article Journal
2025
Panda M.P., Tiezzi M., Vilas M., Roig G., Eskofier B.M., Zanca D.
FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks
International Journal of Computer Vision
DOI 10.1007/s11263-025-02543-y Article Journal
2024
Tiezzi M., Marullo S., Betti A., Casoni M., Melacci S.
Bridging Continual Learning of Motion and Self-Supervised Representations
Frontiers in Artificial Intelligence and Applications, vol. 392, pp. 2773-2780
DOI 10.3233/FAIA240812 Conference Paper Book Series
2024
Tiezzi M., Ciravegna G., Gori M.
Graph Neural Networks for Graph Drawing
IEEE Transactions on Neural Networks and Learning Systems, vol. 35, (no. 4), pp. 4668-4681
DOI 10.1109/TNNLS.2022.3184967 Article Journal
2024
Tiezzi M., Becattini F., Marullo S., Melacci S.
MEMORY HEAD FOR PRE-TRAINED BACKBONES IN CONTINUAL LEARNING
Proceedings of Machine Learning Research, vol. 274, pp. 179-197
Conference Paper Conference
2024
Betti A., Casoni M., Gori M., Marullo S., Melacci S., Tiezzi M.
Neural Time-Reversed Generalized Riccati Equation
Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, (no. 8), pp. 7935-7942
DOI 10.1609/aaai.v38i8.28630 Conference Paper Conference
2024
Casoni M., Guidi T., Tiezzi M., Betti A., Gori M., Melacci S.
Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data
Lecture Notes in Computer Science, vol. 15154 LNAI, pp. 37-48
DOI 10.1007/978-3-031-71602-7_4 Conference Paper Book Series
2023
Maggini M., Tiezzi M., Gori M.
A Lagrangian framework for learning in graph neural networks
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition, pp. 343-365, Publisher: Elsevier
DOI 10.1016/B978-0-323-96104-2.00015-4 Book Chapter Book
2023
Marullo S., Tiezzi M., Gori M., Melacci S., Tuytelaars T.
Continual Learning with Pretrained Backbones by Tuning in the Input Space
Proceedings of the International Joint Conference on Neural Networks, vol. 2023-June
DOI 10.1109/IJCNN54540.2023.10191069 Conference Paper Conference
2023
Tiezzi M., Marullo S., Betti A., Meloni E., Faggi L., Gori M., Melacci S.
Foveated Neural Computation
Lecture Notes in Computer Science, vol. 13715 LNAI, pp. 19-35
DOI 10.1007/978-3-031-26409-2_2 Conference Paper Book Series
2023
Hussain R.G., Tiezzi M., Ciravegna G., Gori M.
Minimizing Cross Intersections in Graph Drawing via Linear Splines
Lecture Notes in Computer Science, vol. 13739 LNAI, pp. 28-39
DOI 10.1007/978-3-031-20650-4_3 Conference Paper Book Series
2022
Marullo S., Tiezzi M., Gori M., Melacci S.
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, vol. 36, pp. 7728-7735
Conference Paper Conference
2022
Betti A., Faggi L., Gori M., Tiezzi M., Marullo S., Meloni E., Melacci S.
CONTINUAL LEARNING THROUGH HAMILTON EQUATIONS
Proceedings of Machine Learning Research, vol. 199, pp. 548-563
Conference Paper Conference