Automatically Polyconvex Strain Energy Functions using Neural Ordinary Differential Equations.
Vahidullah TacFrancisco Sahli CostabalAdrian Buganza TepolePublished in: CoRR (2021)
Keyphrases
- ordinary differential equations
- energy function
- graph cuts
- energy minimization
- differential equations
- dynamic systems
- markov random field
- partial differential equations
- belief propagation
- neural network
- image segmentation
- shape model
- mathematical models
- regularization term
- numerical solution
- segmentation method
- bayesian networks
- message passing
- energy functional
- biological systems