GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes.
Haoran ZhaoWayne Isaac Tan UyPublished in: CoRR (2024)
Keyphrases
- stochastic processes
- deep learning
- stochastic process
- random fields
- probability distribution
- unsupervised learning
- machine learning
- random variables
- dynamic bayesian networks
- weakly supervised
- active learning
- regression model
- supervised learning
- markov random field
- model selection
- least squares
- training data
- computer vision