Yiping Lu
Cited by
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PDE-Net: Learning PDEs from Data
Z Long, Y Lu, X Ma, B Dong
Thirty-fifth International Conference on Machine Learning (ICML), 2018. 80 …, 2017
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
Y Lu, A Zhong, Q Li, B Dong
Thirty-fifth International Conference on Machine Learning (ICML), 2018. 80 …, 2017
PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network
Z Long, Y Lu, B Dong
Journal of Computational Physics 399, 108925, 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
D Zhang*, T Zhang*, Y Lu*, Z Zhu, B Dong
33rd Annual Conference on Neural Information Processing Systems 2019 …, 2019
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
Y Lu, Z Li, D He, Z Sun, B Dong, T Qin, L Wang, TY Liu
International Conference on Learning Representations 2020 Workshop on …, 2019
A mean-field analysis of deep resnet and beyond: Towards provable optimization via overparameterization from depth
Y Lu, C Ma, Y Lu, J Lu, L Ying
Thirty-seventh International Conference on Machine Learning(ICML2020), 2020
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
X Zhang*, Y Lu*, J Liu, B Dong
Seventh International Conference on Learning Representations(ICLR) 2019, 2018
Distillation Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network
B Dong, J Hou, Y Lu, Z Zhang
Conference on Neural Information Processing Systems 2019 Workshop on ML with …, 2019
An unconstrained layer-peeled perspective on neural collapse
W Ji, Y Lu, Y Zhang, Z Deng, WJ Su
arXiv preprint arXiv:2110.02796, 2021
Machine learning for elliptic pdes: fast rate generalization bound, neural scaling law and minimax optimality
Y Lu, H Chen, J Lu, L Ying, J Blanchet
arXiv preprint arXiv:2110.06897, 2021
CURE: Curvature regularization for missing data recovery
B Dong, H Ju, Y Lu, Z Shi
SIAM Journal on Imaging Sciences 13 (4), 2169-2188, 2020
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Y Lu, J Blanchet, L Ying
arXiv preprint arXiv:2205.07331, 2022
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls
Y Lu, J Li, L Ying, J Blanchet
arXiv preprint arXiv:2211.15241, 2022
Minimax Optimal Kernel Operator Learning via Multilevel Training
J Jin, Y Lu, J Blanchet, L Ying
arXiv preprint arXiv:2209.14430, 2022
Importance Tempering: Group Robustness for Overparameterized Models
Y Lu, W Ji, Z Izzo, L Ying
arXiv preprint arXiv:2209.08745, 2022
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks
H Zhang, D Yu, Y Lu, D He
arXiv preprint arXiv:2206.04316, 2022
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