Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows.
Pim de HaanCorrado RainoneMiranda C. N. ChengRoberto BondesanPublished in: CoRR (2021)
Keyphrases
- machine learning
- quantum computing
- theoretical framework
- quantum mechanics
- statistical learning theory
- machine learning methods
- machine learning algorithms
- learning algorithm
- probability ranking principle
- machine learning approaches
- knowledge acquisition
- mathematical theory
- computer science
- statistical methods
- pattern recognition
- feature selection
- information extraction
- decision trees
- learning tasks
- learning problems
- information theory
- continuous variables
- reinforcement learning
- general theory
- transfer learning
- case study
- evolutionary algorithm
- knowledge representation