Enhancing approximation abilities of neural networks by training derivatives

12 December 2017

Papers citing "Enhancing approximation abilities of neural networks by training derivatives"

5 / 5 papers shown

Title
Derivative-based regularization for regression Enrico Lopedoto Maksim Shekhunov Vitaly Aksenov K. Salako Tillman Weyde 34 0 0 01 May 2024
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 46 0 0 21 Oct 2023
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications E. Samaniego C. Anitescu S. Goswami Vien Minh Nguyen-Thanh Hongwei Guo Khader M. Hamdia Timon Rabczuk X. Zhuang PINN AI4CE 159 1,344 0 27 Aug 2019
Avoiding overfitting of multilayer perceptrons by training derivatives V. Avrutskiy 28 4 0 28 Feb 2018
Neural networks catching up with finite differences in solving partial differential equations in higher dimensions V. Avrutskiy 21 21 0 14 Dec 2017