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

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

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)

Fast seismic imaging for marine data. - Aleksandr Y. Aravkin; Xiang Li; Felix J. Herrmann (ICASSP, 2012)

Approximate message passing meets exploration seismology. - Felix J. Herrmann (SSP, 2012)

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)

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

Fast Methods for Denoising Matrix Completion Formulations, with Applications to Robust Seismic Data Interpolation. - Aleksandr Y. Aravkin; Rajiv Kumar 003; 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)

Resolving scaling ambiguities with the ℓ1/ℓ2 norm in a blind deconvolution problem with feedback. - Ernie Esser; Tim T. Y. Lin; Felix J. Herrmann; Rongrong Wang (CAMSAP, 2015)

Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction. - Oscar López; Rajiv Kumar 003; 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 001; 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 003; Oscar López; Damek Davis; Aleksandr Y. Aravkin; Felix J. Herrmann (IEEE Trans. Computational Imaging, 2017)

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)

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)

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)

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)

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

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 002; 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)

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 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)

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 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)

Graph Spectrum Based Seismic Survey Design. - Oscar López; Rajiv Kumar 003; 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 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)

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 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)

Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. - Rafael Orozco; Ali Siahkoohi; Gabrio Rizzuti; Tristan van Leeuwen; Felix J. Herrmann (Image Processing, 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)

Inference of CO2 flow patterns - a feasibility study. - Abhinav Prakash Gahlot; Huseyin Tuna Erdinc; Rafael Orozco; Ziyi Yin 002; Felix J. Herrmann (CoRR, 2023)

Spectral Gap-Based Seismic Survey Design. - Oscar López; Rajiv Kumar 003; Nick Moldoveanu; Felix J. Herrmann (IEEE Trans. Geosci. Remote. Sens., 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)

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 002; 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 CO2 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 002; 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 002; 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)

Seismic Monitoring of CO₂ Plume Dynamics Using Ensemble Kalman Filtering. - Grant Bruer; Abhinav Prakash Gahlot; Edmond Chow; Felix J. Herrmann (IEEE Trans. Geosci. Remote. Sens., 2025)

Probabilistic Joint Recovery Method for CO2 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)

Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models. - Shiqin Zeng; Haoyun Li; Abhinav Prakash Gahlot; Felix J. Herrmann (CoRR, 2025)

Power-scaled Bayesian Inference with Score-based Generative Models. - Huseyin Tuna Erdinc; Yunlin Zeng; Abhinav Prakash Gahlot; Felix J. Herrmann (CoRR, 2025)