Zhengdao Chen

24 papers A* 9Misc 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
On the Interpolation Effect of Score Smoothing.
CoRR
Zhengdao Chen
2024 J jnl
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space.
J. Mach. Learn. Res.
Zhengdao Chen
2024 A* conf
Semantic Routing via Autoregressive Modeling.
NeurIPS
Eric Zhao, Pranjal Awasthi, Zhengdao Chen, Sreenivas Gollapudi, Daniel Delling
2023 A* conf
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks.
ICLR
Xinyi Wu, Zhengdao Chen, William Wei Wang, Ali Jadbabaie
2023 A* conf
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces.
ICML
Zhengdao Chen
2023 J jnl
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space.
CoRR
Zhengdao Chen
2022 J jnl
A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks.
CoRR
Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
2022 J jnl
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks.
CoRR
Xinyi Wu, Zhengdao Chen, William Wang, Ali Jadbabaie
2022 J jnl
On Feature Learning in Neural Networks with Global Convergence Guarantees.
CoRR
Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
2022 A* conf
On feature learning in neural networks with global convergence guarantees.
ICLR
Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
2021 Misc conf
Learning the Relevant Substructures for Tasks on Graph Data.
ICASSP
Lei Chen, Zhengdao Chen, Joan Bruna
2021 A* conf
On Graph Neural Networks versus Graph-Augmented MLPs.
ICLR
Lei Chen, Zhengdao Chen, Joan Bruna
2020 A* conf
A Dynamical Central Limit Theorem for Shallow Neural Networks.
NeurIPS
Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden
2020 J jnl
A Dynamical Central Limit Theorem for Shallow Neural Networks.
CoRR
Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden
2020 A* conf
Can Graph Neural Networks Count Substructures?
NeurIPS
Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna
2020 J jnl
Can graph neural networks count substructures?
CoRR
Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna
2020 J jnl
On Graph Neural Networks versus Graph-Augmented MLPs.
CoRR
Lei Chen, Zhengdao Chen, Joan Bruna
2020 J jnl
Structure-Preserving Numerical Integrators for Hodgkin-Huxley-Type Systems.
SIAM J. Sci. Comput.
Zhengdao Chen, Baranidharan Raman, Ari Stern
2020 A* conf
Symplectic Recurrent Neural Networks.
ICLR
Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
2019 A* conf
On the equivalence between graph isomorphism testing and function approximation with GNNs.
NeurIPS
Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna
2019 J jnl
On the equivalence between graph isomorphism testing and function approximation with GNNs.
CoRR
Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna
2019 — conf
Supervised Community Detection with Line Graph Neural Networks.
ICLR (Poster)
Zhengdao Chen, Lisha Li, Joan Bruna
2019 J jnl
Symplectic Recurrent Neural Networks.
CoRR
Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
2018 J jnl
Multimodal surface matching with higher-order smoothness constraints.
NeuroImage
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