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Zhengdao Chen
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2020 – today
- 2023
- [c10]Xinyi Wu, Zhengdao Chen, William Wei Wang, Ali Jadbabaie:
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. ICLR 2023 - [c9]Zhengdao Chen:
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces. ICML 2023: 4294-4329 - [i9]Zhengdao Chen:
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space. CoRR abs/2307.01177 (2023) - 2022
- [c8]Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna:
On feature learning in neural networks with global convergence guarantees. ICLR 2022 - [i8]Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna:
On Feature Learning in Neural Networks with Global Convergence Guarantees. CoRR abs/2204.10782 (2022) - [i7]Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna:
A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks. CoRR abs/2210.16286 (2022) - [i6]Xinyi Wu, Zhengdao Chen, William Wang, Ali Jadbabaie:
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. CoRR abs/2212.10701 (2022) - 2021
- [c7]Lei Chen, Zhengdao Chen, Joan Bruna:
Learning the Relevant Substructures for Tasks on Graph Data. ICASSP 2021: 8528-8532 - [c6]Lei Chen, Zhengdao Chen, Joan Bruna:
On Graph Neural Networks versus Graph-Augmented MLPs. ICLR 2021 - 2020
- [j2]Zhengdao Chen, Baranidharan Raman
, Ari Stern:
Structure-Preserving Numerical Integrators for Hodgkin-Huxley-Type Systems. SIAM J. Sci. Comput. 42(1): B273-B298 (2020) - [c5]Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou:
Symplectic Recurrent Neural Networks. ICLR 2020 - [c4]Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna:
Can Graph Neural Networks Count Substructures? NeurIPS 2020 - [c3]Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden:
A Dynamical Central Limit Theorem for Shallow Neural Networks. NeurIPS 2020 - [i5]Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna:
Can graph neural networks count substructures? CoRR abs/2002.04025 (2020) - [i4]Zhengdao Chen, Grant M. Rotskoff
, Joan Bruna, Eric Vanden-Eijnden:
A Dynamical Central Limit Theorem for Shallow Neural Networks. CoRR abs/2008.09623 (2020) - [i3]Lei Chen, Zhengdao Chen, Joan Bruna:
On Graph Neural Networks versus Graph-Augmented MLPs. CoRR abs/2010.15116 (2020)
2010 – 2019
- 2019
- [c2]Zhengdao Chen, Lisha Li, Joan Bruna:
Supervised Community Detection with Line Graph Neural Networks. ICLR (Poster) 2019 - [c1]Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna:
On the equivalence between graph isomorphism testing and function approximation with GNNs. NeurIPS 2019: 15868-15876 - [i2]Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna:
On the equivalence between graph isomorphism testing and function approximation with GNNs. CoRR abs/1905.12560 (2019) - [i1]Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou:
Symplectic Recurrent Neural Networks. CoRR abs/1909.13334 (2019) - 2018
- [j1]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: 453-465 (2018)
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last updated on 2024-07-25 20:19 CEST by the dblp team
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