MS259A Generative Models for Inverse Problems, Data Assimilation and Uncertainty Quantification I
Main Organizer:
Prof.
Assad Oberai
(
University of Southern California
, United States
)
Chaired by:
Prof. Assad Oberai (University of Southern California , United States)
Prof. Assad Oberai (University of Southern California , United States)
Scheduled presentations:
-
Multimodal Atmospheric Super-resolution With Deep Generative Models
-
A Conditional Generative Variational Autoencoder for Uncertainty Quantification of Seismic Images
-
Guiding Diffusion Models to Reconstruct Flow Fields from Sparse Data
-
Learning diffeomorphisms of real spaces to infer transport equations of probability densities via discrepancy maps
-
Coupling Fourier Neural Operators with Diffusion Models for Broadband Elastodynamic Wavefields
