Buffelli, Davide

5 publications

LoG 2025 CliquePH: Higher-Order Information for Graph Neural Networks Through Persistent Homology on Clique Graphs Davide Buffelli, Farzin Soleymani, Bastian Rieck

NeurIPS 2024 Deep Equilibrium Algorithmic Reasoning Dobrik Georgiev, Jj Wilson, Davide Buffelli, Pietro Liò

NeurIPS 2024 Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-shan Shiu, Guillaume Hennequin, Alberto Bernacchia

AAAI 2023 Scalable Theory-Driven Regularization of Scene Graph Generation Models Davide Buffelli, Efthymia Tsamoura

NeurIPS 2022 SizeShiftReg: A Regularization Method for Improving Size-Generalization in Graph Neural Networks Davide Buffelli, Pietro Lió, Fabio Vandin