Cervino, Juan

5 publications

ICML 2025 A Manifold Perspective on the Statistical Generalization of Graph Neural Networks Zhiyang Wang, Juan Cervino, Alejandro Ribeiro

AAAI 2025 Generalization of Graph Neural Networks Is Robust to Model Mismatch Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro

LoG 2023 Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity Shubhankar Prashant Patankar, Mathieu Ouellet, Juan Cervino, Alejandro Ribeiro, Kieran A. Murphy, Danielle Bassett

ICML 2023 Learning Globally Smooth Functions on Manifolds Juan Cervino, Luiz F. O. Chamon, Benjamin David Haeffele, Rene Vidal, Alejandro Ribeiro

ICLR 2022 An Agnostic Approach to Federated Learning with Class Imbalance Zebang Shen, Juan Cervino, Hamed Hassani, Alejandro Ribeiro