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2020 – today
- 2024
[b1]Davide Talon:
Structured Representation Learning for Visual Data. University of Genoa, Italy, 2024- [c3]Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane:
Towards the Reusability and Compositionality of Causal Representations. CLeaR 2024: 296-324 - [i5]Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale:
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis. CoRR abs/2402.16090 (2024) - [i4]Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane:
Towards the Reusability and Compositionality of Causal Representations. CoRR abs/2403.09830 (2024) - [i3]Mattia Litrico, Davide Talon, Sebastiano Battiato, Alessio Del Bue, Mario Valerio Giuffrida, Pietro Morerio:
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation. CoRR abs/2404.10574 (2024) - 2023
- [i2]Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale:
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation. CoRR abs/2302.05379 (2023) - 2022
- [c2]Davide Talon, Alessio Del Bue
, Stuart James:
Ganzzle: Reframing Jigsaw Puzzle Solving as a Retrieval Task using a Generative Mental Image. ICIP 2022: 4083-4087 - [i1]Davide Talon, Alessio Del Bue, Stuart James:
GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image. CoRR abs/2207.05634 (2022)
2010 – 2019
- 2019
- [c1]Davide Talon, Luca Attanasio, Federico Chiariotti, Matteo Gadaleta, Andrea Zanella, Michele Rossi:
Comparing DASH Adaptation Algorithms in a Real Network Environment. EW 2019: 1-6
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