Generation of non-stationary stochastic fields using Generative Adversarial Networks with limited training data.
Alhasan AbdellatifAhmed H. ElsheikhDaniel BusbyPhilippe BerthetPublished in: CoRR (2022)
Keyphrases
- non stationary
- training data
- fractional brownian motion
- markov processes
- generative model
- data sets
- adaptive algorithms
- discriminative methods
- empirical mode decomposition
- training set
- random fields
- decision trees
- stock price
- multi agent
- social networks
- autoregressive
- computer vision
- network structure
- learning algorithm
- temporal evolution
- test data
- exchange rate
- prior knowledge
- feature vectors
- change point detection