Mathias Louboutin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 47

Top Topics

Data Compression

Finite Difference

High Resolution

Top Venues

Comput. Geosci.

Adv. Model. Simul. Eng. Sci.

Publications

Ziyi Yin, Mathias Louboutin, Olav Møyner, Felix J. Herrmann
Time-lapse full-waveform permeability inversion: a feasibility study. CoRR (2024)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
WISE: full-Waveform variational Inference via Subsurface Extensions. CoRR (2024)
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems. CoRR (2024)
George Bisbas, Rhodri Nelson, Mathias Louboutin, Paul H. J. Kelly, Fabio Luporini, Gerard Gorman
Automated MPI code generation for scalable finite-difference solvers. CoRR (2023)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Solving multiphysics-based inverse problems with learned surrogates and constraints. CoRR (2023)
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
InvertibleNetworks.jl: A Julia package for scalable normalizing flows. CoRR (2023)
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. MIDL (2023)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Solving multiphysics-based inverse problems with learned surrogates and constraints. Adv. Model. Simul. Eng. Sci. 10 (1) (2023)
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs. Comput. Geosci. 178 (2023)
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, Felix J. Herrmann
Learned multiphysics inversion with differentiable programming and machine learning. CoRR (2023)
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR (2023)
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics. CoRR (2023)
Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Velocity continuation with Fourier neural operators for accelerated uncertainty quantification. CoRR (2022)
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators. CoRR (2022)
Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging. CoRR (2022)
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann
Accelerating innovation with software abstractions for scalable computational geophysics. CoRR (2022)
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators. CoRR (2022)
Mathias Louboutin, Felix J. Herrmann
Enabling wave-based inversion on GPUs with randomized trace estimation. CoRR (2022)
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, Felix J. Herrmann
De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection. CoRR (2022)
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, Felix J. Herrmann
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images. CoRR (2022)
Ziyi Yin, Mathias Louboutin, Felix J. Herrmann
Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model. CoRR (2021)
George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson, Gerard J. Gorman, Paul H. J. Kelly
Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources. IPDPS (2021)
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, Felix J. Herrmann
Preconditioned training of normalizing flows for variational inference in inverse problems. CoRR (2021)
Mathias Louboutin, Felix J. Herrmann
Ultra-low memory seismic inversion with randomized trace estimation. CoRR (2021)
Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, Felix J. Herrmann
Low-memory stochastic backpropagation with multi-channel randomized trace estimation. CoRR (2021)
Fabio Luporini, Mathias Louboutin, Michael Lange, Navjot Kukreja, Philipp A. Witte, Jan Hückelheim, Charles Yount, Paul H. J. Kelly, Felix J. Herrmann, Gerard J. Gorman
Architecture and Performance of Devito, a System for Automated Stencil Computation. ACM Trans. Math. Softw. 46 (1) (2020)
George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson, Gerard Gorman, Paul H. J. Kelly
Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources. CoRR (2020)
Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, Gerard J. Gorman
Lossy Checkpoint Compression in Full Waveform Inversion. CoRR (2020)
Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann
Extended source imaging, a unifying framework for seismic & medical imaging. CoRR (2020)
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, Felix J. Herrmann
An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. IEEE Trans. Parallel Distributed Syst. 31 (9) (2020)
Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Jan Thorbecke, Felix J. Herrmann, Gerard Gorman
Scaling through abstractions - high-performance vectorial wave simulations for seismic inversion with Devito. CoRR (2020)
Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Neural network augmented wave-equation simulation. CoRR (2019)
Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul D. Hovland, Gerard Gorman
Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems. Euro-Par (2019)
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, Felix J. Herrmann
An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. CoRR (2019)
Philipp A. Witte, Mathias Louboutin, Charles Jones, Felix J. Herrmann
Serverless seismic imaging in the cloud. CoRR (2019)
Navjot Kukreja, Jan Hückelheim, Michael Lange, Mathias Louboutin, Andrea Walther, Simon W. Funke, Gerard Gorman
High-level python abstractions for optimal checkpointing in inversion problems. CoRR (2018)
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, Gerard J. Gorman
Devito: an embedded domain-specific language for finite differences and geophysical exploration. CoRR (2018)
Fabio Luporini, Michael Lange, Mathias Louboutin, Navjot Kukreja, Jan Hückelheim, Charles Yount, Philipp A. Witte, Paul H. J. Kelly, Gerard J. Gorman, Felix J. Herrmann
Architecture and performance of Devito, a system for automated stencil computation. CoRR (2018)
Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Kaiyuan Hou, Fabio Luporini, Paul D. Hovland, Gerard Gorman
Combining checkpointing and data compression for large scale seismic inversion. CoRR (2018)
Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard J. Gorman
Optimised finite difference computation from symbolic equations. SciPy (2017)
Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, Gerard Gorman
Performance prediction of finite-difference solvers for different computer architectures. Comput. Geosci. 105 (2017)
Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard J. Gorman
Optimised finite difference computation from symbolic equations. CoRR (2017)
Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, Gerard Gorman
Performance prediction of finite-difference solvers for different computer architectures. CoRR (2016)
Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, Gerard Gorman
Devito: Towards a generic Finite Difference DSL using Symbolic Python. CoRR (2016)
Navjot Kukreja, Mathias Louboutin, Felippe Vieira, Fabio Luporini, Michael Lange, Gerard Gorman
Devito: automated fast finite difference computation. CoRR (2016)
Navjot Kukreja, Mathias Louboutin, Felippe Vieira, Fabio Luporini, Michael Lange, Gerard Gorman
Devito: Automated Fast Finite Difference Computation. WOLFHPC@SC (2016)
Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, Gerard Gorman
Devito: Towards a Generic Finite Difference DSL Using Symbolic Python. PyHPC@SC (2016)