Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias.
Frederic KoehlerViraj MehtaChenghui ZhouAndrej RisteskiPublished in: ICLR (2022)
Keyphrases
- data sets
- low dimensional
- raw data
- data points
- database
- data mining techniques
- input space
- high dimensional data
- statistical analysis
- data collection
- data analysis
- data sources
- image data
- synthetic data
- input data
- small number
- knowledge discovery
- high dimensional
- training data
- end users
- data processing
- high quality
- feature extraction
- feature selection
- privacy preserving
- neural network
- manifold learning
- databases
- multidimensional scaling