Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias.
Frederic KoehlerViraj MehtaAndrej RisteskiChenghui ZhouPublished in: CoRR (2021)
Keyphrases
- data sets
- low dimensional
- data points
- input space
- high dimensional data
- data analysis
- original data
- small number
- data sources
- bayesian networks
- data collection
- data processing
- statistical analysis
- synthetic data
- image data
- spatial data
- raw data
- high dimensional
- data quality
- image segmentation
- data distribution
- neural network
- database
- computer systems
- input data
- prior knowledge
- machine learning
- dimensionality reduction
- missing data
- knowledge discovery
- decision trees
- optical flow
- data objects
- pattern recognition
- manifold learning
- data structure