Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning

4 April 2024

Papers citing "Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning"

4 / 4 papers shown

Title
Error Distribution Smoothing:Advancing Low-Dimensional Imbalanced Regression Donghe Chen Jiaxuan Yue Tengjie Zheng Lanxuan Wang Lin Cheng UQCV 82 1 0 04 Feb 2025
Generic bounds on the approximation error for physics-informed (and) operator learning Tim De Ryck Siddhartha Mishra PINN 56 49 0 23 May 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 948 0 27 Apr 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 223 3,202 0 24 Nov 2016