Mathias Louboutin

51 papers A 2Journal 43Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Automated MPI-X Code Generation for Scalable Finite-Difference Solvers. IPDPS George Bisbas, Rhodri Nelson, Mathias Louboutin, Fabio Luporini, Paul H. J. Kelly, Gerard Gorman
2024	J	`jnl`	ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems. CoRR Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
2024	J	`jnl`	InvertibleNetworks.jl: A Julia package for scalable normalizing flows. J. Open Source Softw. Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
2024	J	`jnl`	Machine learning-enabled velocity model building with uncertainty quantification. CoRR Rafael Orozco, Huseyin Tuna Erdinc, Yunlin Zeng, Mathias Louboutin, Felix J. Herrmann
2024	J	`jnl`	Time-lapse full-waveform permeability inversion: a feasibility study. CoRR Ziyi Yin, Mathias Louboutin, Olav Møyner, Felix J. Herrmann
2024	J	`jnl`	WISE: full-Waveform variational Inference via Subsurface Extensions. CoRR Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
2023	—	`conf`	Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. MIDL Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann
2023	J	`jnl`	Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
2023	J	`jnl`	Automated MPI code generation for scalable finite-difference solvers. CoRR George Bisbas, Rhodri Nelson, Mathias Louboutin, Paul H. J. Kelly, Fabio Luporini, Gerard Gorman
2023	J	`jnl`	InvertibleNetworks.jl: A Julia package for scalable normalizing flows. CoRR Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
2023	J	`jnl`	Learned multiphysics inversion with differentiable programming and machine learning. CoRR 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
2023	J	`jnl`	Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs. Comput. Geosci. Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
2023	J	`jnl`	Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics. CoRR Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
2023	J	`jnl`	Solving multiphysics-based inverse problems with learned surrogates and constraints. Adv. Model. Simul. Eng. Sci. Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
2023	J	`jnl`	Solving multiphysics-based inverse problems with learned surrogates and constraints. CoRR Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
2022	J	`jnl`	Accelerating innovation with software abstractions for scalable computational geophysics. CoRR Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann
2022	J	`jnl`	De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images. CoRR Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, Felix J. Herrmann
2022	J	`jnl`	De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection. CoRR Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, Felix J. Herrmann
2022	J	`jnl`	Enabling wave-based inversion on GPUs with randomized trace estimation. CoRR Mathias Louboutin, Felix J. Herrmann
2022	J	`jnl`	Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators. CoRR Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
2022	J	`jnl`	Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging. CoRR Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
2022	J	`jnl`	Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators. CoRR Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
2022	J	`jnl`	Velocity continuation with Fourier neural operators for accelerated uncertainty quantification. CoRR Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
2021	J	`jnl`	Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model. CoRR Ziyi Yin, Mathias Louboutin, Felix J. Herrmann
2021	J	`jnl`	Low-memory stochastic backpropagation with multi-channel randomized trace estimation. CoRR Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, Felix J. Herrmann
2021	J	`jnl`	Preconditioned training of normalizing flows for variational inference in inverse problems. CoRR Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, Felix J. Herrmann
2021	A	`conf`	Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources. IPDPS George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson, Gerard J. Gorman, Paul H. J. Kelly
2021	J	`jnl`	Ultra-low memory seismic inversion with randomized trace estimation. CoRR Mathias Louboutin, Felix J. Herrmann
2020	J	`jnl`	An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. IEEE Trans. Parallel Distributed Syst. Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, Felix J. Herrmann
2020	J	`jnl`	Architecture and Performance of Devito, a System for Automated Stencil Computation. ACM Trans. Math. Softw. 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
2020	J	`jnl`	Extended source imaging, a unifying framework for seismic & medical imaging. CoRR Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann
2020	J	`jnl`	Lossy Checkpoint Compression in Full Waveform Inversion. CoRR Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, Gerard J. Gorman
2020	—	`—`	Modeling for inversion in exploration geophysics. Mathias Louboutin
2020	J	`jnl`	Scaling through abstractions - high-performance vectorial wave simulations for seismic inversion with Devito. CoRR Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Jan Thorbecke, Felix J. Herrmann, Gerard Gorman
2020	J	`jnl`	Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources. CoRR George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson, Gerard Gorman, Paul H. J. Kelly
2019	J	`jnl`	An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. CoRR Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, Felix J. Herrmann
2019	—	`conf`	Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems. Euro-Par Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul D. Hovland, Gerard Gorman
2019	J	`jnl`	Neural network augmented wave-equation simulation. CoRR Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
2019	J	`jnl`	Serverless seismic imaging in the cloud. CoRR Philipp A. Witte, Mathias Louboutin, Charles Jones, Felix J. Herrmann
2018	J	`jnl`	Architecture and performance of Devito, a system for automated stencil computation. CoRR 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
2018	J	`jnl`	Combining checkpointing and data compression for large scale seismic inversion. CoRR Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Kaiyuan Hou, Fabio Luporini, Paul D. Hovland, Gerard Gorman
2018	J	`jnl`	Devito: an embedded domain-specific language for finite differences and geophysical exploration. CoRR Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, Gerard J. Gorman
2018	J	`jnl`	High-level python abstractions for optimal checkpointing in inversion problems. CoRR Navjot Kukreja, Jan Hückelheim, Michael Lange, Mathias Louboutin, Andrea Walther, Simon W. Funke, Gerard Gorman
2017	—	`conf`	Optimised finite difference computation from symbolic equations. SciPy Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard J. Gorman
2017	J	`jnl`	Optimised finite difference computation from symbolic equations. CoRR Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard J. Gorman
2017	J	`jnl`	Performance prediction of finite-difference solvers for different computer architectures. Comput. Geosci. Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, Gerard Gorman
2016	—	`conf`	Devito: Automated Fast Finite Difference Computation. WOLFHPC@SC Navjot Kukreja, Mathias Louboutin, Felippe Vieira, Fabio Luporini, Michael Lange, Gerard Gorman
2016	—	`conf`	Devito: Towards a Generic Finite Difference DSL Using Symbolic Python. PyHPC@SC Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, Gerard Gorman
2016	J	`jnl`	Devito: Towards a generic Finite Difference DSL using Symbolic Python. CoRR Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, Gerard Gorman
2016	J	`jnl`	Devito: automated fast finite difference computation. CoRR Navjot Kukreja, Mathias Louboutin, Felippe Vieira, Fabio Luporini, Michael Lange, Gerard Gorman
2016	J	`jnl`	Performance prediction of finite-difference solvers for different computer architectures. CoRR Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, Gerard Gorman