IIT Publications Search

Pubblicazioni
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
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
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
2022
Marullo S., Tiezzi M., Betti A., Faggi L., Meloni E., Melacci S.
CONTINUAL UNSUPERVISED LEARNING FOR OPTICAL FLOW ESTIMATION WITH DEEP NETWORKS
Proceedings of Machine Learning Research, vol. 199, pp. 183-200
Conference Paper Conference
2022
Tiezzi M., Marra G., Melacci S., Maggini M.
Deep Constraint-Based Propagation in Graph Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, (no. 2), pp. 727-739
DOI 10.1109/TPAMI.2021.3073504 Article Journal
2022
Meloni E., Betti A., Faggi L., Marullo S., Tiezzi M., Melacci S.
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
Lecture Notes in Computer Science, vol. 13418 LNAI, pp. 62-74
DOI 10.1007/978-3-031-17587-9_5 Conference Paper Book Series
2022
Meloni E., Faggi L., Marullo S., Betti A., Tiezzi M., Gori M., Melacci S.
PARTIME: Scalable and Parallel Processing over Time with Deep Neural Networks
Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, pp. 665-670
DOI 10.1109/ICMLA55696.2022.00110 Conference Paper Conference
2022
Tiezzi M., Marullo S., Faggi L., Meloni E., Betti A., Melacci S.
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
IJCAI International Joint Conference on Artificial Intelligence, pp. 3480-3486
Conference Paper Conference
2021
Marullo S., Tiezzi M., Gori M., Melacci S.
Friendly Training: Neural Networks Can Adapt Data to Make Learning Easier
Proceedings of the International Joint Conference on Neural Networks, vol. 2021-July
DOI 10.1109/IJCNN52387.2021.9534165 Conference Paper Conference
2021
Meloni E., Tiezzi M., Pasqualini L., Gori M., Melacci S.
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects
Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, pp. 1-8
DOI 10.1109/ICMLA52953.2021.00009 Conference Paper Conference