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Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation

Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation

4 June 2024
Madison Cooley
Shandian Zhe
Robert M. Kirby
Varun Shankar
ArXivPDFHTML

Papers citing "Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation"

3 / 3 papers shown
Title
Learnable polynomial, trigonometric, and tropical activations
Learnable polynomial, trigonometric, and tropical activations
Ismail Khalfaoui-Hassani
Stefan Kesselheim
59
0
0
03 Feb 2025
Differentiable Neural Networks with RePU Activation: with Applications
  to Score Estimation and Isotonic Regression
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression
Guohao Shen
Yuling Jiao
Yuanyuan Lin
Jian Huang
43
3
0
01 May 2023
On the eigenvector bias of Fourier feature networks: From regression to
  solving multi-scale PDEs with physics-informed neural networks
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sifan Wang
Hanwen Wang
P. Perdikaris
131
437
0
18 Dec 2020
1