Discovering Conservation Laws using Optimal Transport and Manifold Learning.
Peter Y. LuRumen DangovskiMarin SoljacicPublished in: CoRR (2022)
Keyphrases
- stochastic systems
- manifold learning
- conservation laws
- low dimensional
- dimensionality reduction
- high dimensional
- semi supervised
- subspace learning
- high dimensional data
- dimension reduction
- geodesic distance
- feature extraction
- data sets
- training set
- input image
- multiscale
- sparse representation
- high dimensionality
- similarity measure
- feature selection