A robust framework for identification of PDEs from noisy data

Mathematics

• Noisy Data 100%
• Partial differential equation 61%
• Framework 48%
• Term 25%
• Hyperparameters 23%
• Tuning 22%
• Governing equation 17%
• Network Modeling 13%
• Parsimony 12%
• Fast Fourier transform 11%
• Data-driven 10%
• Machine Learning 10%
• Libraries 10%
• Training 10%
• Neural Networks 8%
• Uncertainty 7%
• Robustness 7%
• Physics 7%
• Engineering 7%
• Influence 7%
• Regression 7%
• Dynamical system 6%
• Concepts 4%
• Coefficient 4%

Physics & Astronomy

• partial differential equations 83%
• tuning 14%
• machine learning 12%
• noise measurement 10%
• regression analysis 9%
• dynamical systems 9%
• education 9%
• format 9%
• engineering 6%
• physics 5%
• coefficients 5%

Engineering & Materials Science

• Partial differential equations 84%
• Tuning 14%
• Fast Fourier transforms 9%
• Physics 8%
• Dynamical systems 7%
• Machine learning 6%
• Uncertainty 5%
• Neural networks 5%