A Latent space solver for PDE generalization.
Rishikesh RanadeChris HillHaiyang HeAmir MalekiJay PathakPublished in: CoRR (2021)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- dimensionality reduction
- generative model
- manifold learning
- feature space
- lower dimensional
- gaussian processes
- parameter space
- level set
- matrix factorization
- image segmentation
- transfer learning
- high dimensional
- gaussian process latent variable models
- distance metric
- missing data
- probabilistic model
- image denoising
- gaussian mixture
- probability distribution
- probabilistic latent semantic analysis
- recommender systems
- feature extraction