Zhengdao Chen

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Asymptotic Analysis

Surface Matching

Top Venues

Publications

Xinyi Wu, Zhengdao Chen, William Wei Wang, Ali Jadbabaie
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. ICLR (2023)
Zhengdao Chen
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces. ICML (2023)
Zhengdao Chen
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space. CoRR (2023)
Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
On Feature Learning in Neural Networks with Global Convergence Guarantees. CoRR (2022)
Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks. CoRR (2022)
Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
On feature learning in neural networks with global convergence guarantees. ICLR (2022)
Xinyi Wu, Zhengdao Chen, William Wang, Ali Jadbabaie
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. CoRR (2022)
Lei Chen, Zhengdao Chen, Joan Bruna
On Graph Neural Networks versus Graph-Augmented MLPs. ICLR (2021)
Lei Chen, Zhengdao Chen, Joan Bruna
Learning the Relevant Substructures for Tasks on Graph Data. ICASSP (2021)
Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden
A Dynamical Central Limit Theorem for Shallow Neural Networks. NeurIPS (2020)
Lei Chen, Zhengdao Chen, Joan Bruna
On Graph Neural Networks versus Graph-Augmented MLPs. CoRR (2020)
Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden
A Dynamical Central Limit Theorem for Shallow Neural Networks. CoRR (2020)
Zhengdao Chen, Baranidharan Raman, Ari Stern
Structure-Preserving Numerical Integrators for Hodgkin-Huxley-Type Systems. SIAM J. Sci. Comput. 42 (1) (2020)
Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
Symplectic Recurrent Neural Networks. ICLR (2020)
Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna
Can graph neural networks count substructures? CoRR (2020)
Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna
Can Graph Neural Networks Count Substructures? NeurIPS (2020)
Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna
On the equivalence between graph isomorphism testing and function approximation with GNNs. CoRR (2019)
Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna
On the equivalence between graph isomorphism testing and function approximation with GNNs. NeurIPS (2019)
Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
Symplectic Recurrent Neural Networks. CoRR (2019)
Zhengdao Chen, Lisha Li, Joan Bruna
Supervised Community Detection with Line Graph Neural Networks. ICLR (Poster) (2019)
Emma C. Robinson, Kara Garcia, Matthew F. Glasser, Zhengdao Chen, Timothy S. Coalson, Antonios Makropoulos, Jelena Bozek, Robert Wright, Andreas Schuh, Matthew A. Webster, Jana Hutter, Anthony Price, Lucilio Cordero-Grande, Emer J. Hughes, Nora Tusor, Philip V. Bayly, David C. Van Essen, Stephen M. Smith, Daniel Rueckert
Multimodal surface matching with higher-order smoothness constraints. NeuroImage 167 (2018)