Working on Continual Learning and Graph Representation Learning. I carried on foundational research on novel learning algorithms and neural architectures, investigating agents capable of processing and learning from continuous streams of data, mostly within dynamic visual environments. Developing open‑source libraries for training and inference in Graph Neural Networks. Published at NeurIPS, AAAI, IJCAI, TPAMI, TNNLS. Reviewer in machine learning venues (NeurIPS, ICML, ICLR, etc.) and journals (TPAMI, TNNLS, Artificial Intelligence etc.)
Research center
CHT@Erzelli
Interests
Continual Learning
Graph Neural Networks
About
Education
Title: PhD
Institute: University of Siena
Location: Siena
Country: Italy
From: 2017 To: 2020
Title: MsC Computer Science
Institute: University of Siena
Location: Siena
Country: Italy
From: 2014 To: 2017
Experience External
Title: Post Doc
Institute: University of Siena
Location: Siena
Country: Italy
From: 2020 To: 2024
All Publications
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
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
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
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
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
Colleagues of Pattern Analysis and Computer Vision
