Devito: Automated Fast Finite Difference Computation. - Navjot Kukreja; Mathias Louboutin; Felippe Vieira; Fabio Luporini; Michael Lange 001; Gerard Gorman (WOLFHPC@SC, 2016)

Devito: Towards a Generic Finite Difference DSL Using Symbolic Python. - Michael Lange 001; Navjot Kukreja; Mathias Louboutin; Fabio Luporini; Felippe Vieira; Vincenzo Pandolfo; Paulius Velesko; Paulius Kazakas; Gerard Gorman (PyHPC@SC, 2016)

Optimised finite difference computation from symbolic equations. - Michael Lange 001; Navjot Kukreja; Fabio Luporini; Mathias Louboutin; Charles Yount; Jan Hückelheim; Gerard J. Gorman (SciPy, 2017)

Performance prediction of finite-difference solvers for different computer architectures. - Mathias Louboutin; Michael Lange 001; Felix J. Herrmann; Navjot Kukreja; Gerard Gorman (Comput. Geosci., 2017)

High-level python abstractions for optimal checkpointing in inversion problems. - Navjot Kukreja; Jan Hückelheim; Michael Lange 001; Mathias Louboutin; Andrea Walther; Simon W. Funke; Gerard Gorman (CoRR, 2018)

Devito: an embedded domain-specific language for finite differences and geophysical exploration. - Mathias Louboutin; Michael Lange 001; Fabio Luporini; Navjot Kukreja; Philipp A. Witte; Felix J. Herrmann; Paulius Velesko; Gerard J. Gorman (CoRR, 2018)

Combining checkpointing and data compression for large scale seismic inversion. - Navjot Kukreja; Jan Hückelheim; Mathias Louboutin; Kaiyuan Hou; Fabio Luporini; Paul D. Hovland; Gerard Gorman (CoRR, 2018)

Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems. - Navjot Kukreja; Jan Hückelheim; Mathias Louboutin; Paul D. Hovland; Gerard Gorman (Euro-Par, 2019)

Neural network augmented wave-equation simulation. - Ali Siahkoohi; Mathias Louboutin; Felix J. Herrmann (CoRR, 2019)

Serverless seismic imaging in the cloud. - Philipp A. Witte; Mathias Louboutin; Charles Jones; Felix J. Herrmann (CoRR, 2019)

Extended source imaging, a unifying framework for seismic & medical imaging. - Ziyi Yin 002; Rafael Orozco; Philipp A. Witte; Mathias Louboutin; Gabrio Rizzuti; Felix J. Herrmann (CoRR, 2020)

Scaling through abstractions - high-performance vectorial wave simulations for seismic inversion with Devito. - Mathias Louboutin; Fabio Luporini; Philipp A. Witte; Rhodri Nelson; George Bisbas; Jan Thorbecke; Felix J. Herrmann; Gerard Gorman (CoRR, 2020)

Lossy Checkpoint Compression in Full Waveform Inversion. - Navjot Kukreja; Jan Hückelheim; Mathias Louboutin; John Washbourne; Paul H. J. Kelly; Gerard J. Gorman (CoRR, 2020)

Architecture and Performance of Devito, a System for Automated Stencil Computation. - Fabio Luporini; Mathias Louboutin; Michael Lange 001; Navjot Kukreja; Philipp A. Witte; Jan Hückelheim; Charles Yount; Paul H. J. Kelly; Felix J. Herrmann; Gerard J. Gorman (ACM Trans. Math. Softw., 2020)

An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. - Philipp A. Witte; Mathias Louboutin; Henryk Modzelewski; Charles Jones; James Selvage; Felix J. Herrmann (IEEE Trans. Parallel Distributed Syst., 2020)

Modeling for inversion in exploration geophysics. - Mathias Louboutin (2020)

Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources. - George Bisbas; Fabio Luporini; Mathias Louboutin; Rhodri Nelson; Gerard J. Gorman; Paul H. J. Kelly (IPDPS, 2021)

Preconditioned training of normalizing flows for variational inference in inverse problems. - Ali Siahkoohi; Gabrio Rizzuti; Mathias Louboutin; Philipp A. Witte; Felix J. Herrmann (CoRR, 2021)

Ultra-low memory seismic inversion with randomized trace estimation. - Mathias Louboutin; Felix J. Herrmann (CoRR, 2021)

Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model. - Ziyi Yin 002; Mathias Louboutin; Felix J. Herrmann (CoRR, 2021)

Low-memory stochastic backpropagation with multi-channel randomized trace estimation. - Mathias Louboutin; Ali Siahkoohi; Rongrong Wang; Felix J. Herrmann (CoRR, 2021)

Enabling wave-based inversion on GPUs with randomized trace estimation. - Mathias Louboutin; Felix J. Herrmann (CoRR, 2022)

Velocity continuation with Fourier neural operators for accelerated uncertainty quantification. - Ali Siahkoohi; Mathias Louboutin; Felix J. Herrmann (CoRR, 2022)

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators. - Ziyi Yin 002; Ali Siahkoohi; Mathias Louboutin; Felix J. Herrmann (CoRR, 2022)

Accelerating innovation with software abstractions for scalable computational geophysics. - Mathias Louboutin; Philipp A. Witte; Ali Siahkoohi; Gabrio Rizzuti; Ziyi Yin 002; Rafael Orozco; Felix J. Herrmann (CoRR, 2022)

Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators. - Thomas J. Grady II; Rishi Khan; Mathias Louboutin; Ziyi Yin 002; Philipp A. Witte; Ranveer Chandra; Russell J. Hewett; Felix J. Herrmann (CoRR, 2022)

Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging. - Rafael Orozco; Mathias Louboutin; Felix J. Herrmann (CoRR, 2022)

De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection. - Ziyi Yin 002; Huseyin Tuna Erdinc; Abhinav Prakash Gahlot; Mathias Louboutin; Felix J. Herrmann (CoRR, 2022)

De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images. - Huseyin Tuna Erdinc; Abhinav Prakash Gahlot; Ziyi Yin 002; Mathias Louboutin; Felix J. Herrmann (CoRR, 2022)

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. - Rafael Orozco; Mathias Louboutin; Ali Siahkoohi; Gabrio Rizzuti; Tristan van Leeuwen; Felix Johan Herrmann (MIDL, 2023)

Learned multiphysics inversion with differentiable programming and machine learning. - Mathias Louboutin; Ziyi Yin 002; Rafael Orozco; Thomas J. Grady II; Ali Siahkoohi; Gabrio Rizzuti; Philipp A. Witte; Olav Møyner; Gerard J. Gorman; Felix J. Herrmann (CoRR, 2023)

Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics. - Rafael Orozco; Ali Siahkoohi; Mathias Louboutin; Felix J. Herrmann (CoRR, 2023)

Automated MPI code generation for scalable finite-difference solvers. - George Bisbas; Rhodri Nelson; Mathias Louboutin; Paul H. J. Kelly; Fabio Luporini; Gerard Gorman (CoRR, 2023)

Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs. - Thomas J. Grady II; Rishi Khan; Mathias Louboutin; Ziyi Yin 002; Philipp A. Witte; Ranveer Chandra; Russell J. Hewett; Felix J. Herrmann (Comput. Geosci., 2023)

Solving multiphysics-based inverse problems with learned surrogates and constraints. - Ziyi Yin 002; Rafael Orozco; Mathias Louboutin; Felix J. Herrmann (Adv. Model. Simul. Eng. Sci., 2023)

WISE: full-Waveform variational Inference via Subsurface Extensions. - Ziyi Yin 002; Rafael Orozco; Mathias Louboutin; Felix J. Herrmann (CoRR, 2024)

Time-lapse full-waveform permeability inversion: a feasibility study. - Ziyi Yin 002; Mathias Louboutin; Olav Møyner; Felix J. Herrmann (CoRR, 2024)

ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems. - Rafael Orozco; Ali Siahkoohi; Mathias Louboutin; Felix J. Herrmann (CoRR, 2024)

Machine learning-enabled velocity model building with uncertainty quantification. - Rafael Orozco; Huseyin Tuna Erdinc; Yunlin Zeng; Mathias Louboutin; Felix J. Herrmann (CoRR, 2024)

InvertibleNetworks.jl: A Julia package for scalable normalizing flows. - Rafael Orozco; Philipp A. Witte; Mathias Louboutin; Ali Siahkoohi; Gabrio Rizzuti; Bas Peters; Felix J. Herrmann (J. Open Source Softw., 2024)

Automated MPI-X Code Generation for Scalable Finite-Difference Solvers. - George Bisbas; Rhodri Nelson; Mathias Louboutin; Fabio Luporini; Paul H. J. Kelly; Gerard Gorman (IPDPS, 2025)