Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space

1 March 2022

Papers citing "Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space"

7 / 7 papers shown

Title
Data-induced multiscale losses and efficient multirate gradient descent schemes Juncai He Liangchen Liu Yen-Hsi Tsai 24 0 0 05 Feb 2024
Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks Yahong Yang Qipin Chen Wenrui Hao 27 4 0 26 Sep 2023
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions Liangchen Liu Juncai He R. Tsai 11 2 0 05 Jul 2023
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness Hao Liu Alex Havrilla Rongjie Lai Wenjing Liao 32 6 0 17 Mar 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 23 3 0 02 Feb 2023
An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations Jianqing Zhu Juncai He Qiumei Huang 25 4 0 02 Feb 2023
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth Zuowei Shen Haizhao Yang Shijun Zhang 98 115 0 28 Feb 2021