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
Biografia
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
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
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
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
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
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
Colleagues of Pattern Analysis and Computer Vision
