Data Assimilation in the Latent Space of a Neural Network.
Maddalena AmendolaRossella ArcucciLaetitia MottetCésar Quilodrán CasasShiwei FanChristopher C. PainPaul LindenYi-Ke GuoPublished in: CoRR (2020)
Keyphrases
- latent space
- neural network
- data assimilation
- latent variables
- low dimensional
- dimensionality reduction
- simulation models
- kalman filter
- smart environments
- matrix factorization
- parameter space
- generative model
- lower dimensional
- anomaly detection
- feature space
- gaussian process
- manifold learning
- remote sensing
- pattern recognition
- gaussian processes
- motion field
- probabilistic latent semantic analysis
- image sequences
- gaussian process latent variable models
- high dimensional
- agent based simulation
- transfer learning
- gaussian mixture
- distance metric
- image segmentation
- simulation model
- collaborative filtering
- probabilistic model
- unsupervised learning
- nearest neighbor