How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model.
Leonardo PetriniFrancesco CagnettaUmberto M. TomasiniAlessandro FaveroMatthieu WyartPublished in: CoRR (2023)
Keyphrases
- neural network
- experimental data
- data sets
- prior knowledge
- input data
- simulation data
- probability distribution
- computational model
- neural network model
- test data
- data analysis
- learned models
- historical data
- learning models
- network structure
- data points
- high level
- original data
- statistical methods
- high quality
- data structure
- statistical analysis
- hierarchical structure
- expert knowledge
- high dimensional data
- image data
- measured data
- databases