Felix J. Herrmann

79 papers B 1Misc 1Journal 75Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A reduced-order derivative-informed neural operator for subsurface fluid-flow. CoRR Jeongjin Park, Grant Bruer, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Felix J. Herrmann
2025	J	`jnl`	Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology. CoRR Abhinav Prakash Gahlot, Rafael Orozco, Felix J. Herrmann
2025	J	`jnl`	Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling. CoRR Abhinav Prakash Gahlot, Felix J. Herrmann
2025	J	`jnl`	Power-scaled Bayesian Inference with Score-based Generative Models. CoRR Huseyin Tuna Erdinc, Yunlin Zeng, Abhinav Prakash Gahlot, Felix J. Herrmann
2025	J	`jnl`	Probabilistic Joint Recovery Method for CO CoRR Zijun Deng, Rafael Orozco, Abhinav Prakash Gahlot, Felix J. Herrmann
2025	J	`jnl`	Seismic Monitoring of CO₂ Plume Dynamics Using Ensemble Kalman Filtering. IEEE Trans. Geosci. Remote. Sens. Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow, Felix J. Herrmann
2025	J	`jnl`	Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models. CoRR Shiqin Zeng, Haoyun Li, Abhinav Prakash Gahlot, Felix J. Herrmann
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`	An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring. CoRR Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, Felix J. Herrmann
2024	J	`jnl`	BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO CoRR Rafael Orozco, Abhinav Prakash Gahlot, Felix J. Herrmann
2024	J	`jnl`	Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations with Diffusion Models. CoRR Huseyin Tuna Erdinc, Rafael Orozco, 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`	Probabilistic Bayesian optimal experimental design using conditional normalizing flows. CoRR Rafael Orozco, Felix J. Herrmann, Peng Chen
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
2024	J	`jnl`	WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction. CoRR Ziyi Yin, Rafael Orozco, Felix J. Herrmann
2023	B	`conf`	Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Image Processing Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. 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`	Inference of CO2 flow patterns - a feasibility study. CoRR Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, Felix J. Herrmann
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
2023	J	`jnl`	Spectral Gap-Based Seismic Survey Design. IEEE Trans. Geosci. Remote. Sens. Oscar López, Rajiv Kumar, Nick Moldoveanu, 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`	Graph Spectrum Based Seismic Survey Design. CoRR Oscar López, Rajiv Kumar, Nick Moldoveanu, 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`	Reliable amortized variational inference with physics-based latent distribution correction. CoRR Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, 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`	Learning by example: fast reliability-aware seismic imaging with normalizing flows. CoRR Ali Siahkoohi, 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	J	`jnl`	Ultra-low memory seismic inversion with randomized trace estimation. CoRR Mathias Louboutin, Felix J. Herrmann
2020	J	`jnl`	A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification. CoRR Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
2020	J	`jnl`	Accelerating Sparse Recovery by Reducing Chatter. SIAM J. Imaging Sci. Emmanouil Daskalakis, Felix J. Herrmann, Rachel Kuske
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`	Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows. CoRR Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann
2020	J	`jnl`	Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization. CoRR Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, Felix J. Herrmann
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`	Transfer learning in large-scale ocean bottom seismic wavefield reconstruction. CoRR Mi Zhang, Ali Siahkoohi, Felix J. Herrmann
2020	J	`jnl`	Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach. CoRR Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
2019	J	`jnl`	A Unified 2D/3D Large-Scale Software Environment for Nonlinear Inverse Problems. ACM Trans. Math. Softw. Curt Da Silva, Felix J. Herrmann
2019	J	`jnl`	Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems. CoRR Bas Peters, Felix J. Herrmann
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	J	`jnl`	Generalized Minkowski sets for the regularization of inverse problems. CoRR Bas Peters, Felix J. Herrmann
2019	J	`jnl`	Learned imaging with constraints and uncertainty quantification. CoRR Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti
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`	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`	Total Variation Regularization Strategies in Full-Waveform Inversion. SIAM J. Imaging Sci. Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, Felix J. Herrmann
2017	J	`jnl`	A Unified 2D/3D Large Scale Software Environment for Nonlinear Inverse Problems. CoRR Curt Da Silva, Felix J. Herrmann
2017	J	`jnl`	Beating Level-Set Methods for 5-D Seismic Data Interpolation: A Primal-Dual Alternating Approach. IEEE Trans. Computational Imaging Rajiv Kumar, Oscar López, Damek Davis, Aleksandr Y. Aravkin, Felix J. Herrmann
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	J	`jnl`	Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction. IEEE J. Sel. Top. Signal Process. Oscar López, Rajiv Kumar, Özgür Yilmaz, Felix J. Herrmann
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
2015	—	`conf`	Resolving scaling ambiguities with the ℓ1/ℓ2 norm in a blind deconvolution problem with feedback. CAMSAP Ernie Esser, Tim T. Y. Lin, Felix J. Herrmann, Rongrong Wang
2014	J	`jnl`	3D Frequency-Domain Seismic Inversion with Controlled Sloppiness. SIAM J. Sci. Comput. Tristan van Leeuwen, Felix J. Herrmann
2014	J	`jnl`	Fast Methods for Denoising Matrix Completion Formulations, with Applications to Robust Seismic Data Interpolation. SIAM J. Sci. Comput. Aleksandr Y. Aravkin, Rajiv Kumar, Hassan Mansour, Ben Recht, Felix J. Herrmann
2013	J	`jnl`	An SVD-free Pareto curve approach to rank minimization CoRR Aleksandr Y. Aravkin, Rajiv Mittal, Hassan Mansour, Ben Recht, Felix J. Herrmann
2012	—	`conf`	Approximate message passing meets exploration seismology. SSP Felix J. Herrmann
2012	Misc	`conf`	Fast seismic imaging for marine data. ICASSP Aleksandr Y. Aravkin, Xiang Li, Felix J. Herrmann
2012	J	`jnl`	Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology. IEEE Signal Process. Mag. Felix J. Herrmann, Michael P. Friedlander, Özgür Yilmaz
2012	J	`jnl`	Robust inversion, dimensionality reduction, and randomized sampling. Math. Program. Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, Tristan van Leeuwen
2009	J	`jnl`	Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction. ACM Trans. Math. Softw. Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, Özgür Yilmaz
2006	J	`jnl`	Seismic Denoising with Nonuniformly Sampled Curvelets. Comput. Sci. Eng. Gilles Hennenfent, Felix J. Herrmann
2005	J	`jnl`	Seismic deconvolution by atomic decomposition: A parametric approach with sparseness constraints. Integr. Comput. Aided Eng. Felix J. Herrmann
2005	J	`jnl`	The deconvolution of seismic data as a fluctuation analysis. Integr. Comput. Aided Eng. Deilson de Melo Tavares, Liacir dos Santos Lucena, Heron A. Schots, Evaldo Cesario Mundim, Felix J. Herrmann