OpenAlex
Level Set Learning with Pseudoreversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation
Work
Year: 2023
Type: article
Abstract: .Due to the curse of dimensionality and the limitation on training data, approximating high-dimensional functions is a very challenging task even for powerful deep neural networks. Inspired by the Non... more
Source: SIAM Journal on Scientific Computing
Authors Yuankai Teng, Zhu Wang, Lili Ju, Anthony Gruber, Guannan Zhang
Institutions University of South Carolina, Florida State University, Oak Ridge National Laboratory
Cites: 29
Cited by: 2
Related to: 10
FWCI: 0.449
Citation percentile (by year/subfield): 71.7
Topic: Model Reduction and Neural Networks
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funders U.S. Department of Energy, Office of Science, Biological and Environmental Research, Oak Ridge National Laboratory