Seuraa
Davide Buffelli
Davide Buffelli
AI Research Scientist at MediaTek Research
Vahvistettu sähköpostiosoite verkkotunnuksessa mtkresearch.com - Kotisivu
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Viittaukset
Viittaukset
Vuosi
Sizeshiftreg: a regularization method for improving size-generalization in graph neural networks
D Buffelli, P Liò, F Vandin
Advances in Neural Information Processing Systems 35, 31871-31885, 2022
552022
Attention-based deep learning framework for human activity recognition with user adaptation
D Buffelli, F Vandin
IEEE Sensors journal 21 (12), 13474-13483, 2021
542021
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings
D Buffelli, F Vandin
NeurIPS Workshop on Meta-Learning (MetaLearn) 2020, 2020
192020
Extending Logic Explained Networks to Text Classification
J Rishabh, C Gabriele, B Pietro, G Francesco, D Buffelli, L Pietro
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2023
14*2023
The Impact of Global Structural Information in Graph Neural Networks Applications
D Buffelli, F Vandin
Data 7 (1), 10, 2022
102022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
D Buffelli, F Vandin
International Joint Conference on Neural Networks (IJCNN), 2022
92022
Scalable theory-driven regularization of scene graph generation models
D Buffelli, E Tsamoura
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6850-6859, 2023
62023
Scalable regularization of scene graph generation models using symbolic theories
D Buffelli, E Tsamoura
arXiv preprint arXiv:2209.02749, 2022
32022
The deep equilibrium algorithmic reasoner
D Georgiev, P Liò, D Buffelli
arXiv preprint arXiv:2402.06445, 2024
12024
Is meta-learning the right approach for the cold-start problem in recommender systems?
D Buffelli, A Gupta, A Strzalka, V Plachouras
arXiv preprint arXiv:2308.08354, 2023
12023
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
D Buffelli, J McGowan, W Xu, A Cioba, D Shiu, G Hennequin, ...
arXiv preprint arXiv:2411.07979, 2024
2024
Deep Equilibrium Algorithmic Reasoning
D Georgiev, JJ Wilson, D Buffelli, P Liò
arXiv preprint arXiv:2410.15059, 2024
2024
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
D Buffelli, F Soleymani, B Rieck
arXiv preprint arXiv:2409.08217, 2024
2024
Improving the Effectiveness of Graph Neural Networks in Practical Scenarios
D Buffelli
Università degli studi di Padova, 2023
2023
Method and system for scene graph generation
E Tsamoura, D Buffelli
US Patent App. 17/824,571, 2022
2022
A Deep Learning Model for Personalized Human Activity Recognition
D Buffelli
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Artikkelit 1–16