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Zhengdao Chen
Zhengdao Chen
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Title
Cited by
Cited by
Year
Supervised Community Detection with Line Graph Neural Networks
Z Chen, LX Li, J Bruna
7th International Conference on Learning Representations (ICLR 2019), 2019
3592019
Can Graph Neural Networks Count Substructures?
Z Chen, L Chen, S Villar, J Bruna
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
2912020
On the Equivalence between Graph Isomorphism Testing and Function Approximation with GNNs
Z Chen, S Villar, L Chen, J Bruna
33rd Conference on Neural Information Processing Systems (NeurIPS 2019 …, 2019
2702019
Multimodal surface matching with higher-order smoothness constraints
EC Robinson, K Garcia, MF Glasser, Z Chen, TS Coalson, A Makropoulos, ...
Neuroimage 167, 453-465, 2018
2222018
Symplectic Recurrent Neural Networks
Z Chen, J Zhang, M Arjovsky, L Bottou
8th International Conference on Learning Representations (ICLR 2020), 2020
2172020
On Graph Neural Networks versus Graph-Augmented MLPs
L Chen, Z Chen, J Bruna
9th International Conference on Learning Representations (ICLR 2021), 2021
492021
Statistical learning and spelling: Older prephonological spellers produce more wordlike spellings than younger prephonological spellers
R Treiman, B Kessler, K Boland, H Clocksin, Z Chen
Child Development 89 (4), e431-e443, 2018
402018
Engaging and disengaging recurrent inhibition coincides with sensing and unsensing of a sensory stimulus
D Saha, W Sun, C Li, S Nizampatnam, W Padovano, Z Chen, A Chen, ...
Nature Communications 8 (1), 1-19, 2017
362017
A Dynamical Central Limit Theorem for Shallow Neural Networks
Z Chen, G Rotskoff, J Bruna, E Vanden-Eijnden
34th Conference on Neural information processing systems (NeurIPS 2020), 2020
332020
Structure-Preserving Numerical Integrators for Hodgkin-Huxley-Type Systems
Z Chen, B Raman, A Stern
SIAM Journal on Scientific Computing 42 (1), B273-B298, 2020
252020
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
X Wu, Z Chen, W Wang, A Jadbabaie
11th International Conference on Learning Representations (ICLR 2023), 2022
242022
On Feature Learning in Neural Networks with Global Convergence Guarantees
Z Chen, E Vanden-Eijnden, J Bruna
10th International Conference on Learning Representations (ICLR 2022), 2022
172022
A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks
Z Chen, E Vanden-Eijnden, J Bruna
arXiv preprint, 2022
42022
Learning the Relevant Substructures for Tasks on Graph Data
L Chen, Z Chen, J Bruna
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
12021
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space
Z Chen
arXiv:2307.01177, 2023
2023
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
Z Chen
40th International Conference on Machine Learning (ICML 2023), 2023
2023
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