Probabilistic Joint Recovery Method for CO2 Plume Monitoring. - Deng, Zijun; Orozco, Rafael; Gahlot, Abhinav Prakash; Herrmann, Felix J. (CoRR, 2025)

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

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

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

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

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

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

BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration. - Orozco, Rafael; Gahlot, Abhinav Prakash; Herrmann, Felix J. (CoRR, 2024)

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

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

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

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring. - Gahlot, Abhinav Prakash; Orozco, Rafael; Yin, Ziyi; Herrmann, Felix J. (CoRR, 2024)

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

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

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

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

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

Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. - Orozco, Rafael; Siahkoohi, Ali; Rizzuti, Gabrio; Leeuwen, Tristan van; Herrmann, Felix J. (2023)

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

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

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

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

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

InvertibleNetworks.jl: A Julia package for scalable normalizing flows. - Orozco, Rafael; Witte, Philipp A.; Louboutin, Mathias; Siahkoohi, Ali; Rizzuti, Gabrio; Peters, Bas; Herrmann, Felix J. (CoRR, 2023)

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

Graph Spectrum Based Seismic Survey Design. - López, Oscar; Kumar, Rajiv; Moldoveanu, Nick; Herrmann, Felix J. (CoRR, 2022)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization. - Rizzuti, Gabrio; Siahkoohi, Ali; Witte, Philipp A.; Herrmann, Felix J. (CoRR, 2020)

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

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

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

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

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

An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. - Witte, Philipp A.; Louboutin, Mathias; Modzelewski, Henryk; Jones, Charles; Selvage, James; Herrmann, Felix J. (CoRR, 2019)

Learned imaging with constraints and uncertainty quantification. - Herrmann, Felix J.; Siahkoohi, Ali; Rizzuti, Gabrio (CoRR, 2019)

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

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

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

Architecture and performance of Devito, a system for automated stencil computation. - Luporini, Fabio; Lange, Michael; Louboutin, Mathias; Kukreja, Navjot; Hückelheim, Jan; Yount, Charles; Witte, Philipp A.; Kelly, Paul H. J.; Gorman, Gerard J.; Herrmann, Felix J. (CoRR, 2018)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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