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ORCIDDavide Buffelli
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2020 – today
- 2024
[i12]Dobrik Georgiev, Pietro Liò, Davide Buffelli
:
The Deep Equilibrium Algorithmic Reasoner. CoRR abs/2402.06445 (2024)- [i11]Davide Buffelli, Farzin Soleymani, Bastian Rieck:
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs. CoRR abs/2409.08217 (2024) - [i10]Dobrik Georgiev, JJ Wilson, Davide Buffelli, Pietro Liò:
Deep Equilibrium Algorithmic Reasoning. CoRR abs/2410.15059 (2024) - [i9]Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-shan Shiu, Guillaume Hennequin, Alberto Bernacchia:
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization. CoRR abs/2411.07979 (2024) - 2023
- [c4]Davide Buffelli, Efthymia Tsamoura:
Scalable Theory-Driven Regularization of Scene Graph Generation Models. AAAI 2023: 6850-6859 - [i8]Davide Buffelli, Ashish Gupta, Agnieszka Strzalka, Vassilis Plachouras:
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? CoRR abs/2308.08354 (2023) - 2022
- [j1]Davide Buffelli, Fabio Vandin:
The Impact of Global Structural Information in Graph Neural Networks Applications. Data 7(1): 10 (2022) - [c3]Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò:
Extending Logic Explained Networks to Text Classification. EMNLP 2022: 8838-8857 - [c2]Davide Buffelli, Fabio Vandin:
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach. IJCNN 2022: 1-8 - [c1]Davide Buffelli, Pietro Lió, Fabio Vandin:
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks. NeurIPS 2022 - [i7]Davide Buffelli, Fabio Vandin:
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach. CoRR abs/2201.03326 (2022) - [i6]Davide Buffelli, Pietro Liò, Fabio Vandin:
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks. CoRR abs/2207.07888 (2022) - [i5]Davide Buffelli, Efthymia Tsamoura:
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories. CoRR abs/2209.02749 (2022) - [i4]Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò:
Extending Logic Explained Networks to Text Classification. CoRR abs/2211.09732 (2022) - 2020
- [i3]Davide Buffelli, Fabio Vandin:
Are Graph Convolutional Networks Fully Exploiting Graph Structure? CoRR abs/2006.03814 (2020) - [i2]Davide Buffelli, Fabio Vandin:
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation. CoRR abs/2006.03820 (2020) - [i1]Davide Buffelli, Fabio Vandin:
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings. CoRR abs/2012.06755 (2020)
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