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07/13/2023
Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising
The presence of coherent noise in seismic data leads to errors and uncer...
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05/25/2023
PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks
Interpolation of aliased seismic data constitutes a key step in a seismi...
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05/13/2023
Physics reliable frugal uncertainty analysis for full waveform inversion
Full waveform inversion (FWI) enables us to obtain high-resolution veloc...
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12/30/2022
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
Uncertainty quantification is crucial to inverse problems, as it could p...
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07/20/2022
Deep Preconditioners and their application to seismic wavefield processing
Seismic data processing heavily relies on the solution of physics-driven...
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05/30/2022
A hybrid approach to seismic deblending: when physics meets self-supervision
To limit the time, cost, and environmental impact associated with the ac...
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09/15/2021
The potential of self-supervised networks for random noise suppression in seismic data
Noise suppression is an essential step in any seismic processing workflo...
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11/22/2020
On the implementation of large-scale integral operators with modern HPC solutions – Application to 3D Marchenko imaging by least-squares inversion
Numerical integral operators of convolution type form the basis of most ...
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07/29/2019