Equivariant Manifold Neural ODEs and Differential Invariants.
Emma AndersdotterFredrik OhlssonPublished in: CoRR (2024)
Keyphrases
- network architecture
- ordinary differential equations
- manifold learning
- low dimensional
- neural network
- moment invariants
- geometric structure
- biologically inspired
- affine invariant
- lower dimensional
- rotation invariant
- principal component analysis
- high dimensional
- feature space
- neural model
- vector valued
- manifold structure
- projective invariants
- learning rules
- bio inspired
- euclidean space
- differential equations
- associative memory
- feature vectors
- pattern recognition