← Authors

Juan Cerviño

4 papers · 2022–2025 · 3 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (12)

Conferences

ICML (2) AAAI (1) ICLR (1)

Top co-authors

Alejandro Ribeiro (4) Zhiyang Wang (2) Benjamin David Haeffele (1) Hamed Hassani (1) Luiz F. O. Chamon (1) Zebang Shen (1) René Vidal (1)

Keywords

representation learning (1) manifold learning (1) manifold regularization (1) model robustness (1) distribution shift (1) lipschitz continuity (1) generalization theory (1) weighted laplacian penalty (1) stochastic gradient technique (1) graph neural network (1) geometric graph (1) model mismatch (1)

Papers

Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks ICML 2025
Learning Globally Smooth Functions on Manifolds ICML 2023
An Agnostic Approach to Federated Learning with Class Imbalance ICLR 2022