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 | 192 | 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 | 145 | 2020 |
The importance of transfer learning in seismic modeling and imaging A Siahkoohi, M Louboutin, FJ Herrmann Geophysics 84 (6), A47-A52, 2019 | 79 | 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 | 59 | 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 | 54 | 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 | 37* | 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 | 36 | 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 | 34 | 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 | 32 | 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 | 31 | 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 | 25 | 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 | 23 | 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 | 21 | 2018 |
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 | 20 | 2023 |
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 | 20 | 2018 |
Towards large-scale learned solvers for parametric pdes with model-parallel fourier neural operators TJ Grady, R Khan, M Louboutin, Z Yin, PA Witte, R Chandra, RJ Hewett, ... arXiv preprint arXiv:2204.01205, 2022 | 16 | 2022 |
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 | 16 | 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 | 16 | 2019 |
The importance of transfer learning in seismic modeling and imaging. Geophysics 84 A Siahkoohi, M Louboutin, FJ Herrmann A47–A52, 2019 | 16 | 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 | 15 | 2022 |