Biblio
Export 144 results:
Author Title Type [ Year] Filters: Author is Mathias Louboutin [Clear All Filters]
“De-risking GCS projects with explainable CO$_2$ leakage detection in time-lapse seismic images”, ML4SEISMIC Partners Meeting. 2022.
, “Effective scaling of numerical surrogates via domain-decomposed Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
, “Enabling wave-based inversion on GPUs with randomized trace estimation”, in EAGE Annual Conference Proceedings, 2022, p. Seismic Wave Modelling and Least Square Migration 2 session.
, “Julia for Geoscience”, Transform. 2022.
, “Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
, “Lossy Checkpoint Compression in Full Waveform Inversion”, Geoscientific Model Development, vol. 15, pp. 3815-3829, 2022.
, “Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging”, TR-CSE-2022-2, 2022.
, “ML4Seismic open-source software: updates and developments”, ML4SEISMIC Partners Meeting. 2022.
, “Normalizing flows for regularization of 3D seismic inverse problems”, ML4SEISMIC Partners Meeting. 2022.
, “Simulation-based framework for geological carbon storage monitoring”, ML4SEISMIC Partners Meeting. 2022.
, “A simulation-free seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Time-lapse seismic survey design by maximizing the spectral gap”, ML4SEISMIC Partners Meeting. 2022.
, “Uncertainty-aware time-lapse CO$_2$ monitoring with learned end-to-end inversion”, ML4SEISMIC Partners Meeting. 2022.
, “Velocity continuation with Fourier neural operators for accelerated uncertainty quantification”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model”, in SEG Technical Program Expanded Abstracts, 2021, pp. 3434-3438.
, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
, “A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion”, ML4SEISMIC Partners Meeting. 2021.
, “A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion”, Geophysics, vol. 86, p. 1ND-Z3, 2021.
, “Fast and reliability-aware seismic imaging with conditional normalizing flows”, in Intelligent illumination of the Earth, 2021.
, “Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model”, ML4SEISMIC Partners Meeting. 2021.
, “InvertibleNetworks.jl - Memory efficient deep learning in Julia”, in JuliaCon, 2021.
, “Learned wave-based imaging - variational inference at scale”, in Delft, 2021.
, “Low-cost time-lapse seismic imaging of CCS with the joint recovery model”, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
, “Low-memory stochastic backpropagation with multi-channel randomized trace estimation”, TR-CSE-2021-1, 2021.
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