Chen, Zhengdao

11 publications

JMLR 2024 Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space Zhengdao Chen

NeurIPS 2024 Semantic Routing via Autoregressive Modeling Eric Zhao, Pranjal Awasthi, Zhengdao Chen, Sreenivas Gollapudi, Daniel Delling

ICLR 2023 A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks Xinyi Wu, Zhengdao Chen, William Wei Wang, Ali Jadbabaie

ICML 2023 Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces Zhengdao Chen

ICLR 2022 On Feature Learning in Neural Networks with Global Convergence Guarantees Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna

ICLR 2021 On Graph Neural Networks Versus Graph-Augmented MLPs Lei Chen, Zhengdao Chen, Joan Bruna

NeurIPS 2020 A Dynamical Central Limit Theorem for Shallow Neural Networks Zhengdao Chen, Grant Rotskoff, Joan Bruna, Eric Vanden-Eijnden

NeurIPS 2020 Can Graph Neural Networks Count Substructures? Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna

ICLR 2020 Symplectic Recurrent Neural Networks Zhengdao Chen, Jianyu Zhang, Martin Arjovsky, Léon Bottou

NeurIPS 2019 On the Equivalence Between Graph Isomorphism Testing and Function Approximation with GNNs Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna

ICLR 2019 Supervised Community Detection with Line Graph Neural Networks Zhengdao Chen, Lisha Li, Joan Bruna