Yiping Lu
Yiping Lu
Courant Instructor, Incoming Tenure Track Assistant Professor Northwestern University
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Citata da
Citata da
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
An unconstrained layer-peeled perspective on neural collapse
W Ji, Y Lu, Y Zhang, Z Deng, WJ Su
arXiv preprint arXiv:2110.02796, 2021
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
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
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
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
Advances in Neural Information Processing Systems 35, 33233-33247, 2022
Minimax optimal kernel operator learning via multilevel training
J Jin, Y Lu, J Blanchet, L Ying
The Eleventh International Conference on Learning Representations, 2022
Importance tempering: Group robustness for overparameterized models
Y Lu, W Ji, Z Izzo, L Ying
arXiv preprint arXiv:2209.08745, 2022
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
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
J Blanchet, H Chen, Y Lu, L Ying
Advances in Neural Information Processing Systems 36, 2024
Adversarial noises are linearly separable for (nearly) random neural networks
H Zhang, D Yu, Y Lu, D He
International Conference on Artificial Intelligence and Statistics, 2792-2804, 2023
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
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls
Y Lu, J Li, L Ying, J Blanchet
arXiv preprint arXiv:2211.15241, 2022
Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Bias
H Wong, W Wu, F Liu, Y Lu
stat 1050, 13, 2024
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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