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1909 Total citations

22 h-index

39 i10-index

Publications

Automatic Generation of Matrix-Free Routines for PDE Solvers with Devito via PETSc

Z Leibowitz, R Nelson, F Luporini, M Louboutin, M Knepley, L Mitchell, … · Empowering the Energy Shift: The Role of HPC in Sustainable Innovation 2025 …, 2025

2025 · Cited by 1

Emerging AI Hardware Enables Low-Power, High-Throughput Seismic Imaging on the Edge

E Caunt, M Louboutin, F Luporini, G Gorman, M Badrais, J Betteridge · Empowering the Energy Shift: The Role of HPC in Sustainable Innovation 2025 …, 2025

2025 · Cited by 0

Polychromatic multiparameter FWI backed by symbolic abstractions

J Washbourne, L Decker, S Kaplan, A Loddoch, O Cristea, K Bube, … · SEG International Exposition and Annual Meeting, SEG-2025-4311940, 2025

2025 · Cited by 0

Automated MPI-X code generation for scalable finite-difference solvers

G Bisbas, R Nelson, M Louboutin, F Luporini, PHJ Kelly, G Gorman · 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2025

2025 · Cited by 7

Galactic 2D Seismic Imaging Study, Phase 2: novel technologies

H Debens, R Eliott-Lockhart, J Moss, A Kovacs, S Debnath, … · 86th EAGE Annual Conference & Exhibition 2025 (1), 1-5, 2025

2025 · Cited by 1

ASPIRE: iterative amortized posterior inference for Bayesian inverse problems

R Orozco, A Siahkoohi, M Louboutin, FJ Herrmann · Inverse Problems 41 (4), 045001, 2025

2025 · Cited by 23

Machine learning-enabled velocity model building with uncertainty quantification

R Orozco, HT Erdinc, Y Zeng, M Louboutin, FJ Herrmann · arXiv preprint arXiv:2411.06651, 2024

2024 · Cited by 11

Time-lapse full-waveform permeability inversion: A feasibility study

Z Yin, M Louboutin, O Møyner, FJ Herrmann · The Leading Edge 43 (8), 544-553, 2024

2024 · Cited by 8

WISE: Full-waveform variational inference via subsurface extensions

Z Yin, R Orozco, M Louboutin, FJ Herrmann · Geophysics 89 (4), A23-A28, 2024

2024 · Cited by 42

Wave‐based inversion at scale on graphical processing units with randomized trace estimation

M Louboutin, FJ Herrmann · Geophysical Prospecting 72 (2), 353-366, 2024

2024 · Cited by 4

devitocodes/devito: v4. 8.10

F Luporini, M Louboutin, N Kukreja, G Bisbas, L Cavalcante, T Burgess, … · Zenodo, 2024

2024 · Cited by 3

Automatic PETSc Code Generation For Finite Differences

Z Leibowitz, R Nelson, F Luporini, M Louboutin, M Knepley, L Mitchell, … · SIAM PP24, 2024

2024 · Cited by 1

InvertibleNetworks. jl: A Julia package for scalable normalizing flows

R Orozco, P Witte, M Louboutin, A Siahkoohi, G Rizzuti, B Peters, … · arXiv preprint arXiv:2312.13480, 2023

2023 · Cited by 16

Solving multiphysics-based inverse problems with learned surrogates and constraints

Z Yin, R Orozco, M Louboutin, FJ Herrmann · Advanced Modeling and Simulation in Engineering Sciences 10 (1), 14, 2023

2023 · Cited by 25

Cross-platform Benchmarking of Seismic Imaging Kernels

G Gorman, L Decker, A Loddoch, M Louboutin, F Luporini, R Nelson, … · EAGE Seventh High Performance Computing Workshop 2023 (1), 1-3, 2023

2023 · Cited by 0

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

2023 · Cited by 69

3D seismic survey design by maximizing the spectral gap

Y Zhang, Z Yin, O López, A Siahkoohi, M Louboutin, FJ Herrmann · SEG International Exposition and Annual Meeting, SEG-2023-3895546, 2023

2023 · Cited by 1

Learned multiphysics inversion with differentiable programming and machine learning

M Louboutin, Z Yin, R Orozco, TJ Grady, A Siahkoohi, G Rizzuti, PA Witte, … · The Leading Edge 42 (7), 474-486, 2023

2023 · Cited by 21

Optimized time-lapse acquisition design via spectral gap ratio minimization

Y Zhang, Z Yin, O López, A Siahkoohi, M Louboutin, R Kumar, … · Geophysics 88 (4), A19-A23, 2023

2023 · Cited by 5

Refining amortized posterior approximations using gradient-based summary statistics

R Orozco, A Siahkoohi, M Louboutin, FJ Herrmann · arXiv preprint arXiv:2305.08733, 2023

2023 · Cited by 4

Amortized normalizing flows for transcranial ultrasound with uncertainty quantification

R Orozco, M Louboutin, A Siahkoohi, G Rizzuti, T van Leeuwen, … · arXiv preprint arXiv:2303.03478, 2023

2023 · Cited by 17

slimgroup/JOLI. jl: v0. 8.5

H Modzelewski, M Louboutin, Z Yin, D Karrasch, R Orozco · Zenodo, 2023

2023 · Cited by 1

slimgroup/SegyIO. jl: v0. 8.3

K Lensink, H Modzelewski, M Louboutin, Z Yin · Zenodo, 2023

2023 · Cited by 1

slimgroup/JutulDarcyRules. jl: v0. 2.4

Z Yin, M Louboutin · Zenodo, 2023

2023 · Cited by 4

slimgroup/JUDI. jl: v3. 3.8

M Louboutin, P Witte, Z Yin, H Modzelewski, G Bruer, C Da Costa, … · Zenodo, 2023

2023 · Cited by 13

slimgroup/InvertibleNetworks. jl: v2. 2.4

P Witte, M Louboutin, R Orozco, A Siahkoohi, F Herrmann, B Peters, … · Zenodo, 2023

2023 · Cited by 2

slimgroup/ImageGather. jl: v0. 2.6

M Louboutin · Zenodo, 2023

2023 · Cited by 1

Derisking geologic carbon storage from high-resolution time-lapse seismic to explainable leakage detection

Z Yin, HT Erdinc, AP Gahlot, M Louboutin, FJ Herrmann · The Leading Edge 42 (1), 69-76, 2023

2023 · Cited by 19

De-risking carbon capture and sequestration with explainable CO2 leakage detection in time-lapse seismic monitoring images

HT Erdinc, AP Gahlot, Z Yin, M Louboutin, FJ Herrmann · arXiv preprint arXiv:2212.08596, 2022

2022 · Cited by 8

A simulation-free seismic survey design by maximizing the spectral gap

Y Zhang, M Louboutin, A Siahkoohi, Z Yin, R Kumar, FJ Herrmann · SEG International Exposition and Annual Meeting, D011S001R004, 2022

2022 · Cited by 8

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

Z Yin, A Siahkoohi, M Louboutin, FJ Herrmann · SEG International Exposition and Annual Meeting, D011S026R001, 2022

2022 · Cited by 32

Velocity continuation with Fourier neural operators for accelerated uncertainty quantification

A Siahkoohi, M Louboutin, FJ Herrmann · SEG International Exposition and Annual Meeting, D011S092R004, 2022

2022 · Cited by 7

Accelerating innovation with software abstractions for scalable computational geophysics

M Louboutin, P Witte, A Siahkoohi, G Rizzuti, Z Yin, R Orozco, … · SEG International Exposition and Annual Meeting, D011S078R003, 2022

2022 · Cited by 6

Enabling wave-based inversion on GPUs with randomized trace estimation

M Louboutin, F Herrmann · 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022

2022 · Cited by 4

Lossy checkpoint compression in full waveform inversion: a case study with ZFPv0. 5.5 and the overthrust model

N Kukreja, J Hückelheim, M Louboutin, J Washbourne, PHJ Kelly, … · Geoscientific Model Development 15 (9), 3815-3829, 2022

2022 · Cited by 26

Memory efficient invertible neural networks for 3D photoacoustic imaging

R Orozco, M Louboutin, FJ Herrmann · arXiv preprint arXiv:2204.11850, 2022

2022 · Cited by 3

slimgroup/CloudSegyIO. jl: v1. 0.1

H Modzelewski, M Louboutin · Zenodo, 2022

2022 · Cited by 1

slimgroup/JOLI. jl: v0. 7.16

H Modzelewski, M Louboutin, Z Yin, R Orozco · Zenodo, 2022

2022 · Cited by 1

slimgroup/SlimOptim. jl: v0. 2.5

M Louboutin, Z Yin, F Herrmann · Zenodo, 2022

2022 · Cited by 1

devitocodes/devito: v4. 2.3

F Luporini, M Louboutin, M Lange, N Kukreja, G Bisbas, V Pandolfo, … · Zenodo, 2022

2022 · Cited by 2

slimgroup/JUDI4Cloud. jl: First public release

M Louboutin, Z Yin, F Herrmann · Zenodo, 2022

2022 · Cited by 3

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

2022 · Cited by 17

Seismic velocity inversion and uncertainty quantification using conditional normalizing flows

Y Ren, PA Witte, A Siahkoohi, M Louboutin, Z Yin, FJ Herrmann · AGU Fall Meeting, U12A-03, 2021

2021 · Cited by 5

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

Z Yin, M Louboutin, FJ Herrmann · SEG International Exposition and Annual Meeting, D011S145R001, 2021

2021 · Cited by 11

Ultra-low memory seismic inversion with randomized trace estimation

M Louboutin, FJ Herrmann · SEG International Exposition and Annual Meeting, D011S033R001, 2021

2021 · Cited by 7

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

2021 · Cited by 26

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

M Louboutin, A Siahkoohi, R Wang, FJ Herrmann · arXiv preprint arXiv:2106.06998, 2021

2021 · Cited by 0

XConv: Low-memory stochastic backpropagation for convolutional layers

A Thatipelli, J Sam, M Louboutin, A Siahkoohi, R Wang, FJ Herrmann · arXiv e-prints, arXiv: 2106.06998, 2021

2021 · Cited by 0

Temporal blocking of finite-difference stencil operators with sparse “off-the-grid” sources

G Bisbas, F Luporini, M Louboutin, R Nelson, GJ Gorman, PHJ Kelly · 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021

2021 · Cited by 3

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

2021 · Cited by 48

slimgroup/Devito4PyTorch: Initial release

A Siahkoohi, M Louboutin · Zenodo, 2021

2021 · Cited by 1

slimgroup/SlimOptim. jl: v0. 1.6

M Louboutin, F Herrmann · Zenodo, 2021

2021 · Cited by 1

slimgroup/SetIntersectionProjection. jl: v0. 2.1

B Peters, M Louboutin, H Modzelewski · Zenodo, 2021

2021 · Cited by 2

InvertibleNetworks. jl-Memory Efficient Deep Learning in Julia

PA Witte, M Louboutin, A Siahkoohi, G Rizzuti, B Peters, FJ Herrmann

2021 · Cited by 1

930 Preconditioned training of normalizing flows for variational inference in inverse 931 problems

A Siahkoohi, G Rizzuti, M Louboutin, PA Witte, FJ Herrmann · arXiv preprint arXiv:2101.03709 932, 2021

2021 · Cited by 2

PROCEEDINGS-2021 IEEE 35TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS 2021

Y Niu, Z Lu, M Dong, Z Jin, W Liu, G Tan, Q Cao, Y Pei, G Bosilca, …

2021 · Cited by 0

Ultra-low memory seismic inversion with randomized trace estimation. SEG Technical Program Expanded Abstracts, 787–791

M Louboutin, FJ Herrmann · IMAGE, Denver, 2021

2021 · Cited by 2

Preconditioned training of normalizing flows for variational inference in inverse problems. arXiv e-prints, Jan

A Siahkoohi, G Rizzuti, M Louboutin, PA Witte, FJ Herrmann · arXiv preprint arXiv:2101.03709, 2021

2021 · Cited by 0

Time-Domain Wavefield Reconstruction Inversion for Large-Scale Seismic Inversion

G Rizzuti, M Louboutin, R Wang, FJ Herrmann

2021 · Cited by 1

Extended source imaging—A unifying framework for seismic and medical imaging

Z Yin, R Orozco, P Witte, M Louboutin, G Rizzuti, FJ Herrmann · SEG International Exposition and Annual Meeting, D041S078R003, 2020

2020 · Cited by 2

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

2020 · Cited by 230

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

M Louboutin, F Luporini, P Witte, R Nelson, G Bisbas, J Thorbecke, … · arXiv preprint arXiv:2004.10519, 2020

2020 · Cited by 8

Time-domain wavefield reconstruction inversion in a TTI medium

M Louboutin, G Rizzuti, FJ Herrmann · arXiv preprint arXiv:2004.07355, 2020

2020 · Cited by 5

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

2020 · Cited by 49

slimgroup/InvertibleNetworks. jl: Jacobians and adjoint Jacobians of layers and networks

P Witte, M Louboutin, A Siahkoohi, F Herrmann · Zenodo, 2020

2020 · Cited by 1

Unsupervised Data-Guided Uncertainty Analysis in Imaging and Horizon Tracking

A Siahkoohi, G Rizzuti, M Louboutin, FJ Herrmann

2020 · Cited by 1

Lossy checkpoint compression in full waveform inversion: Geoscientific Model Development Discussions

N Kukreja, J Hückelheim, M Louboutin, J Washbourne, PHJ Kelly, …

2020 · Cited by 2

InvertibleNetworks. jl: A Julia framework for invertible neural networks

P Witte, G Rizzuti, M Louboutin, A Siahkoohi, F Herrmann, B Peters · November, 2020

2020 · Cited by 5

Modeling for inversion in exploration geophysics

M Louboutin · Georgia Institute of Technology, 2020

2020 · Cited by 4

Time-domain wavefield reconstruction inversion for large-scale seismics

G Rizzuti, M Louboutin, R Wang, FJ Herrmann · 82nd EAGE Annual Conference and Exhibition, Expanded abstracts, 1-5, 2020

2020 · Cited by 2

The importance of transfer learning in seismic modeling and imaging

A Siahkoohi, M Louboutin, FJ Herrmann · Geophysics 84 (6), A47-A52, 2019

2019 · Cited by 113

Accelerating ideation & innovation cheaply in the cloud the power of abstraction, collaboration & reproducibility

FJ Herrmann, C Jones, G Gorman, J Hückelheim, K Lensink, P Kelly, … · 4th EAGE Workshop on Highperformance Computing,(EAGE HPC Workshop, Dubai), 2019

2019 · Cited by 4

Neural network augmented wave-equation simulation

A Siahkoohi, M Louboutin, FJ Herrmann · arXiv preprint arXiv:1910.00925, 2019

2019 · Cited by 22

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

2019 · Cited by 16

Event-driven workflows for large-scale seismic imaging in the cloud

PA Witte, M Louboutin, H Modzelewski, C Jones, J Selvage, FJ Herrmann · SEG International Exposition and Annual Meeting, D043S108R006, 2019

2019 · Cited by 13

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

2019 · Cited by 41

Combining checkpointing and data compression to accelerate adjoint-based optimization problems

N Kukreja, J Hückelheim, M Louboutin, P Hovland, G Gorman · European Conference on Parallel Processing, 87-100, 2019

2019 · Cited by 15

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

2019 · Cited by 82

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

2019 · Cited by 275

Devito (v3. 1.0): An embedded domain-specific language for finite differences and geophysical exploration: Geoscientific Model Development, 12, 1165–1187, doi: 10.5194

M Louboutin, M Lange, F Luporini, N Kukreja, PA Witte, FJ Herrmann, … · gmd-12-1165-2019, 2019

2019 · Cited by 84

The Julia Devito Inversion Framework (JUDI)

PA Witte, M Louboutin, FJ Herrmann

2019 · Cited by 2

The importance of transfer learning in seismic modeling and imaging. Geophysics 84

A Siahkoohi, M Louboutin, FJ Herrmann · A47–A52, 2019

2019 · Cited by 16

Accelerating real-world stencil computations using temporal blocking: handling sparse sources and receivers

G Bisbas, F Luporini, M Louboutin, G Gorman, PHJ Kelly

2019 · Cited by 0

Sparsity-promoting photoacoustic imaging with source estimation

S Sharan, R Kumar, DS Dumani, M Louboutin, R Wang, S Emelianov, … · 2018 IEEE International Ultrasonics Symposium (IUS), 206-212, 2018

2018 · Cited by 2

Effects of wrong adjoints for RTM in TTI media

M Louboutin, P Witte, FJ Herrmann · SEG International Exposition and Annual Meeting, SEG-2018-2996274, 2018

2018 · Cited by 15

Deep-convolutional neural networks in prestack seismic: Two exploratory examples

A Siahkoohi, M Louboutin, R Kumar, FJ Herrmann · SEG International Exposition and Annual Meeting, SEG-2018-2998599, 2018

2018 · Cited by 24

Devito: Fast and Scalable Full-Waveform Inversion Without the Excruciating Pain

G Gorman, F Luporini, N Kukreja, M Louboutin, A St-Cyr, B Souza, … · First EAGE Workshop on High Performance Computing for Upstream in Latin …, 2018

2018 · Cited by 0

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

2018 · Cited by 34

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

2018 · Cited by 17

High-level Python abstractions for optimal checkpointing in inversion problems: ArXiv e–prints

N Kukreja, J Hückelheim, M Lange, M Louboutin, A Walther, SW Funke, …

2018 · Cited by 2

a, De-vito: An embedded domain-specific language for finite differences and geophysical exploration: ArXiv preprints

M Louboutin, M Lange, F Luporini, N Kukreja, PA Witte, J Herrmann, … · arXiv preprint arXiv:1808.01995, 2018

2018 · Cited by 3

Boundary conditions in Devito

M Louboutin, F Luporini · preparation, 2018

2018 · Cited by 2

Effects of wrong adjoints for RTM in TTI media: SEG Technical Program Expanded Abstracts, 331–335

M Louboutin, PA Witte, FJ Herrmann · SEG, Anaheim, 2018

2018 · Cited by 2

The Julia Devito inversion framework (JUDI): https://github. com/slimgroup

PA Witte, M Louboutin, FJ Herrmann · JUDI. jl, 2018

2018 · Cited by 3

Combining checkpointing and data compression for large scale seismic inversion

N Kukreja, J Hückelheim, M Louboutin, K Hou, F Luporini, P Hovland, … · arXiv preprint arXiv:1810.05268, 2018

2018 · Cited by 5

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

2018 · Cited by 29

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

2017 · Cited by 50

Rapid development of seismic imaging applications using symbolic math

N Kukreja, M Louboutin, M Lange, F Luporini, G Gorman · Third EAGE Workshop on High Performance Computing for Upstream 2017 (1), 1-4, 2017

2017 · Cited by 7

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

2017 · Cited by 26

Optimised finite difference computation from symbolic equations

M Lange, N Kukreja, F Luporini, M Louboutin, C Yount, J Hückelheim, … · arXiv preprint arXiv:1707.03776, 2017

2017 · Cited by 11

Extending the search space of time-domain adjoint-state FWI with randomized implicit time shifts

M Louboutin, FJ Herrmann · 79th EAGE Conference and Exhibition 2017 2017 (1), 1-5, 2017

2017 · Cited by 7

Data normalization strategies for full-waveform inversion

M Louboutin, L Guasch, FJ Herrmann · 79th EAGE conference and exhibition 2017 2017 (1), 1-5, 2017

2017 · Cited by 11

Devito: Symbolic Math for Automated Fast Finite Difference Computations

N Kukreja, M Lange, M Louboutin, F Luporini, G Gorman

2017 · Cited by 1

Leveraging symbolic math for rapid development of applications for seismic modeling

N Kukreja, M Louboutin, M Lange, F Luporini, G Gorman

2017 · Cited by 1

A Large-Scale Time-Domain Seismic Modeling and Inversion Workflow in Julia

PA Witte, M Louboutin, G Gorman, FJ Herrmann

2017 · Cited by 0

Optimizing the computational performance of time-domain modelling—leveraging multiple right-hand-sides

M Louboutin, G Gorman, FJ Herrmann

2017 · Cited by 0

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

2016 · Cited by 37

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

2016 · Cited by 65