Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs.
Amuthan A. RamabathiranPrabhu RamachandranPublished in: CoRR (2022)
Keyphrases
- neural network
- anisotropic diffusion
- partial differential equations
- diffusion equation
- computer science
- high dimensional
- pattern recognition
- artificial neural networks
- self organizing maps
- numerical solution
- sparse data
- feed forward
- image denoising
- compressed sensing
- artificial intelligence
- genetic algorithm
- level set
- sparse representation
- fuzzy logic
- neural network model
- compressive sensing
- fault diagnosis
- sparse coding
- multilayer perceptron
- recurrent neural networks
- numerical scheme
- tensor field
- diffusion filtering
- noise removal
- edge detection
- feature space
- image processing
- learning algorithm
- machine learning