Swift sky localization of gravitational waves using deep learning seeded importance sampling.
Alex KolmusGrégory BaltusJustin JanquartTwan van LaarhovenSarah CaudillTom HeskesPublished in: CoRR (2021)
Keyphrases
- deep learning
- importance sampling
- monte carlo
- unsupervised learning
- kalman filter
- markov chain
- approximate inference
- particle filter
- machine learning
- particle filtering
- weakly supervised
- mental models
- belief propagation
- learning algorithm
- markov chain monte carlo
- posterior distribution
- dynamic programming
- multiscale
- maximum likelihood
- text classification
- computer vision