Probabilistic Joint Recovery Method for CO\(_2\) Plume Monitoring - Zijun Deng; Rafael Orozco; Abhinav Prakash Gahlot; Felix J. Herrmann (CoRR, 2025)

Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology - Abhinav Prakash Gahlot; Rafael Orozco; Felix J. Herrmann (CoRR, 2025)

Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling - Abhinav Prakash Gahlot; Felix J. Herrmann (CoRR, 2025)

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)

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

Probabilistic Bayesian optimal experimental design using conditional normalizing flows - Rafael Orozco; Felix J. Herrmann; Peng Chen (CoRR, 2024)

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

BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO\(_2\) sequestration - Rafael Orozco; Abhinav Prakash Gahlot; 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)

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction - Ziyi Yin; Rafael Orozco; Felix J. Herrmann (CoRR, 2024)

Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations with Diffusion Models - Huseyin Tuna Erdinc; Rafael Orozco; Felix J. Herrmann (CoRR, 2024)

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring - Abhinav Prakash Gahlot; Rafael Orozco; Ziyi Yin; 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)

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

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

Spectral Gap-Based Seismic Survey Design - Oscar López; Rajiv Kumar; Nick Moldoveanu; Felix J. Herrmann (IEEE Trans. Geosci. Remote. Sens., 2023)

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification - Rafael Orozco; Mathias Louboutin; Ali Siahkoohi; Gabrio Rizzuti; Tristan van Leeuwen; Felix Johan Herrmann (Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA, 2023)

Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification - Rafael Orozco; Ali Siahkoohi; Gabrio Rizzuti; Tristan van Leeuwen; Felix J. Herrmann (Medical Imaging 2023: Image Processing, San Diego, CA, USA, February 19-23, 2023, 2023)

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

Learned multiphysics inversion with differentiable programming and machine learning - 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 (CoRR, 2023)

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

Solving multiphysics-based inverse problems with learned surrogates and constraints - Ziyi Yin; Rafael Orozco; Mathias Louboutin; Felix J. Herrmann (CoRR, 2023)

Inference of CO2 flow patterns - a feasibility study - Abhinav Prakash Gahlot; Huseyin Tuna Erdinc; Rafael Orozco; Ziyi Yin; Felix J. Herrmann (CoRR, 2023)

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 (CoRR, 2023)

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

Graph Spectrum Based Seismic Survey Design - Oscar López; Rajiv Kumar; Nick Moldoveanu; 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; 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; 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; 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)

Reliable amortized variational inference with physics-based latent distribution correction - Ali Siahkoohi; Gabrio Rizzuti; Rafael Orozco; Felix J. Herrmann (CoRR, 2022)

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

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)

Learning by example: fast reliability-aware seismic imaging with normalizing flows - Ali Siahkoohi; Felix J. Herrmann (CoRR, 2021)

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

Accelerating Sparse Recovery by Reducing Chatter - Emmanouil Daskalakis; Felix J. Herrmann; Rachel Kuske (SIAM J. Imaging Sci., 2020)

Architecture and Performance of Devito, a System for Automated Stencil Computation - 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 (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)

A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification - Ali Siahkoohi; Gabrio Rizzuti; Felix J. Herrmann (CoRR, 2020)

Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach - Ali Siahkoohi; Gabrio Rizzuti; Felix J. Herrmann (CoRR, 2020)

Transfer learning in large-scale ocean bottom seismic wavefield reconstruction - Mi Zhang; Ali Siahkoohi; Felix J. Herrmann (CoRR, 2020)

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

Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization - Gabrio Rizzuti; Ali Siahkoohi; Philipp A. Witte; 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)

Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows - Ali Siahkoohi; Gabrio Rizzuti; Philipp A. Witte; Felix J. Herrmann (CoRR, 2020)

A Unified 2D/3D Large-Scale Software Environment for Nonlinear Inverse Problems - Curt Da Silva; Felix J. Herrmann (ACM Trans. Math. Softw., 2019)

Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems - Bas Peters; Felix J. Herrmann (CoRR, 2019)

Generalized Minkowski sets for the regularization of inverse problems - Bas Peters; Felix J. Herrmann (CoRR, 2019)

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 (CoRR, 2019)

Learned imaging with constraints and uncertainty quantification - Felix J. Herrmann; Ali Siahkoohi; Gabrio Rizzuti (CoRR, 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)

Total Variation Regularization Strategies in Full-Waveform Inversion - Ernie Esser; Lluís Guasch; Tristan van Leeuwen; Aleksandr Y. Aravkin; Felix J. Herrmann (SIAM J. Imaging Sci., 2018)

Architecture and performance of Devito, a system for automated stencil computation - 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 (CoRR, 2018)

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

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

Beating Level-Set Methods for 5-D Seismic Data Interpolation: A Primal-Dual Alternating Approach - Rajiv Kumar; Oscar López; Damek Davis; Aleksandr Y. Aravkin; Felix J. Herrmann (IEEE Trans. Computational Imaging, 2017)

A Unified 2D/3D Large Scale Software Environment for Nonlinear Inverse Problems - Curt Da Silva; Felix J. Herrmann (CoRR, 2017)

Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction - Oscar López; Rajiv Kumar; Özgür Yilmaz; Felix J. Herrmann (IEEE J. Sel. Top. Signal Process., 2016)

Performance prediction of finite-difference solvers for different computer architectures - Mathias Louboutin; Michael Lange; Felix J. Herrmann; Navjot Kukreja; Gerard Gorman (CoRR, 2016)

Resolving scaling ambiguities with the \(l\)1/\(l\)2 norm in a blind deconvolution problem with feedback - Ernie Esser; Tim T. Y. Lin; Felix J. Herrmann; Rongrong Wang (6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, Mexico, December 13-16, 2015, 2015)

Fast Methods for Denoising Matrix Completion Formulations, with Applications to Robust Seismic Data Interpolation - Aleksandr Y. Aravkin; Rajiv Kumar; Hassan Mansour; Ben Recht; Felix J. Herrmann (SIAM J. Sci. Comput., 2014)

3D Frequency-Domain Seismic Inversion with Controlled Sloppiness - Tristan van Leeuwen; Felix J. Herrmann (SIAM J. Sci. Comput., 2014)

An SVD-free Pareto curve approach to rank minimization - Aleksandr Y. Aravkin; Rajiv Mittal; Hassan Mansour; Ben Recht; Felix J. Herrmann (CoRR, 2013)

Robust inversion, dimensionality reduction, and randomized sampling - Aleksandr Y. Aravkin; Michael P. Friedlander; Felix J. Herrmann; Tristan van Leeuwen (Math. Program., 2012)

Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology - Felix J. Herrmann; Michael P. Friedlander; Özgür Yilmaz (IEEE Signal Process. Mag., 2012)

Fast seismic imaging for marine data - Aleksandr Y. Aravkin; Xiang Li; Felix J. Herrmann (2012 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan, March 25-30, 2012, 2012)

Approximate message passing meets exploration seismology - Felix J. Herrmann (IEEE Statistical Signal Processing Workshop, SSP 2012, Ann Arbor, MI, USA, August 5-8, 2012, 2012)

Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction - Ewout van den Berg; Michael P. Friedlander; Gilles Hennenfent; Felix J. Herrmann; Rayan Saab; Özgür Yilmaz (ACM Trans. Math. Softw., 2009)

Seismic Denoising with Nonuniformly Sampled Curvelets - Gilles Hennenfent; Felix J. Herrmann (Comput. Sci. Eng., 2006)

The deconvolution of seismic data as a fluctuation analysis - Deilson de Melo Tavares; Liacir dos Santos Lucena; Heron A. Schots; Evaldo Cesario Mundim; Felix J. Herrmann (Integr. Comput. Aided Eng., 2005)

Seismic deconvolution by atomic decomposition: A parametric approach with sparseness constraints - Felix J. Herrmann (Integr. Comput. Aided Eng., 2005)