Flow-based sampling for multimodal distributions in lattice field theory.
Daniel C. HackettChung-Chun HsiehMichael S. AlbergoDenis BoydaJiunn-Wei ChenKai-Feng ChenKyle CranmerGurtej KanwarPhiala E. ShanahanPublished in: CoRR (2021)
Keyphrases
- multi modal
- random variables
- theoretical framework
- theoretical basis
- machine learning
- highly skewed
- boolean algebra
- large deviations
- general theory
- sample size
- computational model
- belief functions
- joint distribution
- human computer interaction
- mathematical theory
- probability distribution
- multimodal interfaces
- algebraic structure
- image sequences
- data mining