Mathias Louboutin
Mathias Louboutin
Senior Solution Architect, DevitoCodes Ltd
Verified email at - Homepage
Cited by
Cited by
Devito (v3. 1.0): an embedded domain-specific language for finite differences and geophysical exploration
M Louboutin, M Lange, F Luporini, N Kukreja, PA Witte, FJ Herrmann, ...
Geoscientific Model Development 12 (3), 1165-1187, 2019
Architecture and performance of Devito, a system for automated stencil computation
F Luporini, M Louboutin, M Lange, N Kukreja, P Witte, J Hückelheim, ...
ACM Transactions on Mathematical Software (TOMS) 46 (1), 1-28, 2020
The importance of transfer learning in seismic modeling and imaging
A Siahkoohi, M Louboutin, FJ Herrmann
Geophysics 84 (6), A47-A52, 2019
A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia
PA Witte, M Louboutin, N Kukreja, F Luporini, M Lange, GJ Gorman, ...
Geophysics 84 (3), F57-F71, 2019
Devito: Towards a generic finite difference dsl using symbolic python
M Lange, N Kukreja, M Louboutin, F Luporini, F Vieira, V Pandolfo, ...
2016 6th workshop on python for high-performance and scientific computing …, 2016
An event-driven approach to serverless seismic imaging in the cloud
PA Witte, M Louboutin, H Modzelewski, C Jones, J Selvage, FJ Herrmann
IEEE Transactions on Parallel and Distributed Systems 31 (9), 2032-2049, 2020
Full-waveform inversion, Part 1: Forward modeling
M Louboutin, P Witte, M Lange, N Kukreja, F Luporini, G Gorman, ...
The Leading Edge 36 (12), 1033-1036, 2017
Compressive least-squares migration with on-the-fly Fourier transforms
PA Witte, M Louboutin, F Luporini, GJ Gorman, FJ Herrmann
Geophysics 84 (5), R655-R672, 2019
Devito: Automated fast finite difference computation
N Kukreja, M Louboutin, F Vieira, F Luporini, M Lange, G Gorman
2016 Sixth International Workshop on Domain-Specific Languages and High …, 2016
Preconditioned training of normalizing flows for variational inference in inverse problems
A Siahkoohi, G Rizzuti, M Louboutin, PA Witte, FJ Herrmann
arXiv preprint arXiv:2101.03709, 2021
Full-waveform inversion, part 3: Optimization
P Witte, M Louboutin, K Lensink, M Lange, N Kukreja, F Luporini, ...
The Leading Edge 37 (2), 142-145, 2018
Performance prediction of finite-difference solvers for different computer architectures
M Louboutin, M Lange, FJ Herrmann, N Kukreja, G Gorman
Computers & Geosciences 105, 148-157, 2017
Full-waveform inversion, Part 2: Adjoint modeling
M Louboutin, P Witte, M Lange, N Kukreja, F Luporini, G Gorman, ...
The Leading Edge 37 (1), 69-72, 2018
Deep-convolutional neural networks in prestack seismic: Two exploratory examples
A Siahkoohi, M Louboutin, R Kumar, FJ Herrmann
SEG Technical Program Expanded Abstracts 2018, 2196-2200, 2018
The importance of transfer learning in seismic modeling and imaging. Geophysics 84
A Siahkoohi, M Louboutin, FJ Herrmann
A47–A52, 2019
Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs
TJ Grady, R Khan, M Louboutin, Z Yin, PA Witte, R Chandra, RJ Hewett, ...
Computers & Geosciences 178, 105402, 2023
A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion
G Rizzuti, M Louboutin, R Wang, FJ Herrmann
Geophysics 86 (6), R879-R893, 2021
A dual formulation for time-domain wavefield reconstruction inversion
G Rizzuti, M Louboutin, R Wang, E Daskalakis, F Herrmann
SEG International Exposition and Annual Meeting, D043S130R005, 2019
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators
Z Yin, A Siahkoohi, M Louboutin, FJ Herrmann
Second International Meeting for Applied Geoscience & Energy, 467-472, 2022
High-level python abstractions for optimal checkpointing in inversion problems
N Kukreja, J Hückelheim, M Lange, M Louboutin, A Walther, SW Funke, ...
arXiv preprint arXiv:1802.02474, 2018
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