Mathias Louboutin

Orcid: 0000-0002-1255-2107

According to our database¹, Mathias Louboutin authored at least 37 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

Time-lapse full-waveform permeability inversion: a feasibility study.

[BibT_eX]

[DOI]

CoRR, 2024

WISE: full-Waveform variational Inference via Subsurface Extensions.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Solving multiphysics-based inverse problems with learned surrogates and constraints.

[BibT_eX]

[DOI]

Adv. Model. Simul. Eng. Sci., December, 2023

Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs.

[BibT_eX]

[DOI]

Comput. Geosci., September, 2023

InvertibleNetworks.jl: A Julia package for scalable normalizing flows.

[BibT_eX]

[DOI]

CoRR, 2023

Automated MPI code generation for scalable finite-difference solvers.

[BibT_eX]

[DOI]

CoRR, 2023

Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics.

[BibT_eX]

[DOI]

CoRR, 2023

Learned multiphysics inversion with differentiable programming and machine learning.

[BibT_eX]

[DOI]

CoRR, 2023

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images.

[BibT_eX]

[DOI]

Huseyin Tuna Erdinc

Abhinav Prakash Gahlot

Ziyi Yin

Mathias Louboutin

Felix J. Herrmann

CoRR, 2022

De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection.

[BibT_eX]

[DOI]

Ziyi Yin

Huseyin Tuna Erdinc

Abhinav Prakash Gahlot

Mathias Louboutin

Felix J. Herrmann

CoRR, 2022

Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging.

[BibT_eX]

[DOI]

Rafael Orozco

Mathias Louboutin

Felix J. Herrmann

CoRR, 2022

Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators.

[BibT_eX]

[DOI]

CoRR, 2022

Accelerating innovation with software abstractions for scalable computational geophysics.

[BibT_eX]

[DOI]

CoRR, 2022

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators.

[BibT_eX]

[DOI]

CoRR, 2022

Velocity continuation with Fourier neural operators for accelerated uncertainty quantification.

[BibT_eX]

[DOI]

Ali Siahkoohi

Mathias Louboutin

Felix J. Herrmann

CoRR, 2022

Enabling wave-based inversion on GPUs with randomized trace estimation.

[BibT_eX]

[DOI]

Mathias Louboutin

Felix J. Herrmann

CoRR, 2022

2021

Low-memory stochastic backpropagation with multi-channel randomized trace estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model.

[BibT_eX]

[DOI]

Ziyi Yin

Mathias Louboutin

Felix J. Herrmann

CoRR, 2021

Ultra-low memory seismic inversion with randomized trace estimation.

[BibT_eX]

[DOI]

Mathias Louboutin

Felix J. Herrmann

CoRR, 2021

Preconditioned training of normalizing flows for variational inference in inverse problems.

[BibT_eX]

[DOI]

CoRR, 2021

Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

An Event-Driven Approach to Serverless Seismic Imaging in the Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

Architecture and Performance of Devito, a System for Automated Stencil Computation.

[BibT_eX]

[DOI]

ACM Trans. Math. Softw., 2020

Lossy Checkpoint Compression in Full Waveform Inversion.

[BibT_eX]

[DOI]

CoRR, 2020

Scaling through abstractions - high-performance vectorial wave simulations for seismic inversion with Devito.

[BibT_eX]

[DOI]

CoRR, 2020

Extended source imaging, a unifying framework for seismic & medical imaging.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Serverless seismic imaging in the cloud.

[BibT_eX]

[DOI]

CoRR, 2019

Neural network augmented wave-equation simulation.

[BibT_eX]

[DOI]

Ali Siahkoohi

Mathias Louboutin

Felix J. Herrmann

CoRR, 2019

Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018

Combining checkpointing and data compression for large scale seismic inversion.

[BibT_eX]

[DOI]

CoRR, 2018

Devito: an embedded domain-specific language for finite differences and geophysical exploration.

[BibT_eX]

[DOI]

CoRR, 2018

High-level python abstractions for optimal checkpointing in inversion problems.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Performance prediction of finite-difference solvers for different computer architectures.

[BibT_eX]

[DOI]

Comput. Geosci., 2017

Optimised finite difference computation from symbolic equations.

[BibT_eX]

[DOI]

Proceedings of the 16th Python in Science Conference 2017, 2017

2016

Devito: Towards a Generic Finite Difference DSL Using Symbolic Python.

[BibT_eX]

[DOI]

Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, 2016

Devito: Automated Fast Finite Difference Computation.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing, 2016

Mathias Louboutin

Timeline

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On csauthors.net:

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