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Yiping Lu
Yiping Lu
Courant Instructor, Incoming Tenure Track Assistant Professor Northwestern University
Verified email at northwestern.edu - Homepage
Title
Cited by
Cited by
Year
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
8342017
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
5682017
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
5552019
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
4552019
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
1632019
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
852020
An unconstrained layer-peeled perspective on neural collapse
W Ji, Y Lu, Y Zhang, Z Deng, WJ Su
arXiv preprint arXiv:2110.02796, 2021
642021
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
562018
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
362021
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
312019
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
152020
Minimax optimal kernel operator learning via multilevel training
J Jin, Y Lu, J Blanchet, L Ying
The Eleventh International Conference on Learning Representations, 2022
92022
Sobolev acceleration and statistical optimality for learning elliptic equations via gradient descent
Y Lu, J Blanchet, L Ying
Advances in Neural Information Processing Systems 35, 33233-33247, 2022
82022
Importance tempering: Group robustness for overparameterized models
Y Lu, W Ji, Z Izzo, L Ying
arXiv preprint arXiv:2209.08745, 2022
52022
Statistical Spatially Inhomogeneous Diffusion Inference
Y Ren, Y Lu, L Ying, GM Rotskoff
Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14820 …, 2024
22024
Generalization Guarantees of Deep ResNets in the Mean-Field Regime
Y Chen, F Liu, Y Lu, G Chrysos, V Cevher
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023
12023
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls
Y Lu, J Li, L Ying, J Blanchet
arXiv preprint arXiv:2211.15241, 2022
12022
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
K Liu, J Blanchet, L Ying, Y Lu
arXiv preprint arXiv:2404.19145, 2024
2024
Generalization of scaled deep ResNets in the mean-field regime
Y Chen, F Liu, Y Lu, GG Chrysos, V Cevher
arXiv preprint arXiv:2403.09889, 2024
2024
Representation of General Continuous Anti-symmetric Function
H Ye, R Li, Y Gu, Y Lu, D He, L Wang
arXiv preprint arXiv:2402.15167, 2024
2024
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