Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models.
Daniel Flam-ShepherdTony C. WuXuemei GuAlba Cervera-LiertaMario KrennAlán Aspuru-GuzikPublished in: CoRR (2021)
Keyphrases
- generative model
- discriminative learning
- deep belief networks
- prior knowledge
- hidden variables
- learning process
- active learning
- unsupervised learning
- probabilistic model
- parameter learning
- boltzmann machine
- feature representations
- mixture model
- visual patterns
- learning tasks
- conditional random fields
- topic models
- machine learning
- probability distribution
- reinforcement learning
- image processing
- learning algorithm