Fast and realistic large-scale structure from machine-learning-augmented random field simulations.
Davide PirasBenjamin JoachimiFrancisco Villaescusa-NavarroPublished in: CoRR (2022)
Keyphrases
- random fields
- machine learning
- maximum entropy
- random field models
- markov random field
- non stationary
- reinforcement learning
- probabilistic model
- support vector machine
- ground truth
- conditional random fields
- parameter estimation
- markov processes
- stochastic processes
- textured images
- autoregressive
- active learning
- multiscale
- feature selection
- information retrieval