Information theory unifies atomistic machine learning, uncertainty quantification, and materials thermodynamics.
Daniel Schwalbe-KodaSébastien HamelBabak SadighFei ZhouVincenzo LordiPublished in: CoRR (2024)
Keyphrases
- information theory
- machine learning
- statistical learning
- information theoretic
- jensen shannon divergence
- statistical mechanics
- conditional entropy
- pattern recognition
- relative entropy
- learning algorithm
- shannon entropy
- feature selection
- rate distortion theory
- kullback leibler divergence
- active learning
- computer vision
- computer science
- decision trees
- data mining
- rate distortion
- semi supervised learning
- support vector machine
- mdl principle
- optical flow
- image analysis
- statistical physics