A deep network construction that adapts to intrinsic dimensionality
beyond the domain

v1v2v3 (latest)

A deep network construction that adapts to intrinsic dimensionality beyond the domain

6 August 2020

ArXiv (abs)PDF HTML

Papers citing "A deep network construction that adapts to intrinsic dimensionality beyond the domain"

4 / 4 papers shown

Title
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs Ke Chen Chunmei Wang Haizhao Yang AI4CE 66 14 0 28 Jan 2023
Effects of Data Geometry in Early Deep Learning Saket Tiwari George Konidaris 150 7 0 29 Dec 2022
Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors Yuling Jiao Guohao Shen Yuanyuan Lin Jian Huang 121 52 0 14 Apr 2021
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery Minshuo Chen Haoming Jiang Wenjing Liao T. Zhao 154 92 0 05 Aug 2019