Machine Learning
SLIM’s research on machine learning involves the following main components:
- neural networks, e.g. (generative adversarial networks, invertible networks, normalizing flows, and Fourier neural operators)
- applications on seismic data processing
- Uncertainty quantification with techniques from Bayesian inference