Davide is a PhD student of the Pattern Analysis and Computer Vision (PAVIS) group advised by dr. Alessio Del Bue.
Before joining PAVIS, Davide completed the BS in Information Engineering and the MS in Computer Engineering at University of Padova. During his master thesis, he investigated Multi-task learning under Prof. A. Chiuso.
His research interests are Deep Learning, Representation Learning and Causality.
Address
Genoa, Italy
Research center
CHT@Erzelli
Interests
Machine Learning
Deep Learning
Representation Learning
Causality
Biografia
All Publications
2024
Talon D., Lippe P., James S., Del Bue A., Magliacane S.
Towards the Reusability and Compositionality of Causal Representations
Conference on Causal Learning and Reasoning
Article
Conference
2023
Maracani A., Camoriano R., Maiettini E., Talon D., Rosasco L., Natale L.
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation
arXiv preprint
2023
Talon D., Lippe P., James S., Del Bue A., Magliacane S.
Towards the Reusability and Compositionality of Causal Representations
Causal Representation Learning Workshop at NeurIPS23
Article
E-print Archive
2022
Talon D., Del Bue A., James S.
GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image
IEEE International Conference on Image Processing (ICIP)
2019
Talon D., Attanasio L., Chiariotti F., Gadaleta M., Zanella A., Rossi M.
Comparing DASH adaptation algorithms in a real network environment
European Wireless 2019 Conference, EW 2019, pp. 146-151
Conference Paper
Conference
Colleagues of Pattern Analysis and Computer Vision