research
∙
07/27/2020
Point-to-set distance functions for weakly supervised segmentation
When pixel-level masks or partial annotations are not available for trai...
share
research
∙
03/17/2020
Deep connections between learning from limited labels physical parameter estimation – inspiration for regularization
Recently established equivalences between differential equations and the...
research
∙
03/16/2020
Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing
The large spatial/frequency scale of hyperspectral and airborne magnetic...
research
∙
05/24/2019
Fully Hyperbolic Convolutional Neural Networks
Convolutional Neural Networks (CNN) have recently seen tremendous succes...
research
∙
03/27/2019
Neural-networks for geophysicists and their application to seismic data interpretation
Neural-networks have seen a surge of interest for the interpretation of ...
research
∙
03/10/2019
Generalized Minkowski sets for the regularization of inverse problems
Many works on inverse problems in the imaging sciences consider regulari...
research
∙
02/26/2019
Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems
We propose algorithms and software for computing projections onto the in...
research
∙
01/12/2019
Automatic classification of geologic units in seismic images using partially interpreted examples
Geologic interpretation of large seismic stacked or migrated seismic ima...
research
∙
12/26/2018
