Zhengdao Chen

According to our database, Zhengdao Chen authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space.

Zhengdao Chen

J. Mach. Learn. Res., 2024

2023

Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces.

Zhengdao Chen

Proceedings of the International Conference on Machine Learning, 2023

A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks.

Xinyi Wu, Zhengdao Chen, William Wei Wang, Ali Jadbabaie

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks.

Xinyi Wu, Zhengdao Chen, William Wang, Ali Jadbabaie

CoRR, 2022

A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks.

Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna

CoRR, 2022

On feature learning in neural networks with global convergence guarantees.

Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

On Graph Neural Networks versus Graph-Augmented MLPs.

Lei Chen, Zhengdao Chen, Joan Bruna

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning the Relevant Substructures for Tasks on Graph Data.

Lei Chen, Zhengdao Chen, Joan Bruna

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Structure-Preserving Numerical Integrators for Hodgkin-Huxley-Type Systems.

Zhengdao Chen, Baranidharan Raman, Ari Stern

SIAM J. Sci. Comput., 2020

A Dynamical Central Limit Theorem for Shallow Neural Networks.

Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Can Graph Neural Networks Count Substructures?

Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Symplectic Recurrent Neural Networks.

Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

On the equivalence between graph isomorphism testing and function approximation with GNNs.

Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Supervised Community Detection with Line Graph Neural Networks.

Zhengdao Chen, Lisha Li, Joan Bruna

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Multimodal surface matching with higher-order smoothness constraints.

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

NeuroImage, 2018