Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations.
Nick McGreivyAmmar HakimPublished in: CoRR (2024)
Keyphrases
- partial differential equations
- machine learning
- anisotropic diffusion
- numerical solution
- image processing
- image denoising
- differential equations
- level set
- mathematical morphology
- energy functional
- boundary value problem
- numerical algorithms
- image enhancement
- numerical methods
- finite difference
- numerical scheme
- pattern recognition
- curve evolution
- problems in image processing
- higher order
- finite difference method
- high order
- similarity measure