202 citations · 715 across the 48 of their papers we have counts for
6 papers · 1 filter
Serverless seismic imaging in the cloud
Philipp A. Witte, Mathias Louboutin, Charles Jones +1
This abstract presents a serverless approach to seismic imaging in the cloud based on high-throughput containerized batch processing, event-driven computations and a domain-specifi…
Neural network augmented wave-equation simulation
Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Accurate forward modeling is important for solving inverse problems. An inaccurate wave-equation simulation, as a forward operator, will offset the results obtained via inversion.…
An Event-Driven Approach to Serverless Seismic Imaging in the Cloud
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski +3
Adapting the cloud for high-performance computing (HPC) is a challenging task, as software for HPC applications hinges on fast network connections and is sensitive to hardware fail…
Learned imaging with constraints and uncertainty quantification
Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti
We outline new approaches to incorporate ideas from deep learning into wave-based least-squares imaging. The aim, and main contribution of this work, is the combination of handcraf…
Generalized Minkowski sets for the regularization of inverse problems
Bas Peters, Felix J. Herrmann
Many works on inverse problems in the imaging sciences consider regularization via one or more penalty functions or constraint sets. When the models/images are not easily described…
Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems
Bas Peters, Felix J. Herrmann
We propose algorithms and software for computing projections onto the intersection of multiple convex and non-convex constraint sets. The software package, called SetIntersectionPr…