Felix J. Herrmann

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 57

Top Topics

Blind Deconvolution

Inverse Problems

Top Venues

SIAM J. Imaging Sci.

ACM Trans. Math. Softw.

Comput. Geosci.

Publications

Ziyi Yin, Mathias Louboutin, Olav Møyner, Felix J. Herrmann
Time-lapse full-waveform permeability inversion: a feasibility study. CoRR (2024)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
WISE: full-Waveform variational Inference via Subsurface Extensions. CoRR (2024)
Huseyin Tuna Erdinc, Rafael Orozco, Felix J. Herrmann
Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations with Diffusion Models. CoRR (2024)
Rafael Orozco, Felix J. Herrmann, Peng Chen
Probabilistic Bayesian optimal experimental design using conditional normalizing flows. CoRR (2024)
Rafael Orozco, Abhinav Prakash Gahlot, Felix J. Herrmann
sequestration. CoRR (2024)
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems. CoRR (2024)
Ziyi Yin, Rafael Orozco, Felix J. Herrmann
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction. CoRR (2024)
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Medical Imaging: Image Processing (2023)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Solving multiphysics-based inverse problems with learned surrogates and constraints. CoRR (2023)
Oscar López, Rajiv Kumar, Nick Moldoveanu, Felix J. Herrmann
Spectral Gap-Based Seismic Survey Design. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
InvertibleNetworks.jl: A Julia package for scalable normalizing flows. CoRR (2023)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Solving multiphysics-based inverse problems with learned surrogates and constraints. Adv. Model. Simul. Eng. Sci. 10 (1) (2023)
Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, Felix J. Herrmann
Inference of CO2 flow patterns - a feasibility study. CoRR (2023)
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs. Comput. Geosci. 178 (2023)
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
Learned multiphysics inversion with differentiable programming and machine learning. CoRR (2023)
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR (2023)
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics. CoRR (2023)
Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Velocity continuation with Fourier neural operators for accelerated uncertainty quantification. CoRR (2022)
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators. CoRR (2022)
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Felix J. Herrmann
Reliable amortized variational inference with physics-based latent distribution correction. CoRR (2022)
Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging. CoRR (2022)
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann
Accelerating innovation with software abstractions for scalable computational geophysics. CoRR (2022)
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators. CoRR (2022)
Mathias Louboutin, Felix J. Herrmann
Enabling wave-based inversion on GPUs with randomized trace estimation. CoRR (2022)
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, Felix J. Herrmann
De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection. CoRR (2022)
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, Felix J. Herrmann
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images. CoRR (2022)
Ziyi Yin, Mathias Louboutin, Felix J. Herrmann
Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model. CoRR (2021)
Ali Siahkoohi, Felix J. Herrmann
Learning by example: fast reliability-aware seismic imaging with normalizing flows. CoRR (2021)
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, Felix J. Herrmann
Preconditioned training of normalizing flows for variational inference in inverse problems. CoRR (2021)
Mathias Louboutin, Felix J. Herrmann
Ultra-low memory seismic inversion with randomized trace estimation. CoRR (2021)
Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, Felix J. Herrmann
Low-memory stochastic backpropagation with multi-channel randomized trace estimation. CoRR (2021)
Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification. CoRR (2020)
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
Architecture and Performance of Devito, a System for Automated Stencil Computation. ACM Trans. Math. Softw. 46 (1) (2020)
Emmanouil Daskalakis, Felix J. Herrmann, Rachel Kuske
Accelerating Sparse Recovery by Reducing Chatter. SIAM J. Imaging Sci. 13 (3) (2020)
Mi Zhang, Ali Siahkoohi, Felix J. Herrmann
Transfer learning in large-scale ocean bottom seismic wavefield reconstruction. CoRR (2020)
Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach. CoRR (2020)
Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, Felix J. Herrmann
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization. CoRR (2020)
Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann
Extended source imaging, a unifying framework for seismic & medical imaging. CoRR (2020)
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, Felix J. Herrmann
An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. IEEE Trans. Parallel Distributed Syst. 31 (9) (2020)
Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows. CoRR (2020)
Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Jan Thorbecke, Felix J. Herrmann, Gerard Gorman
Scaling through abstractions - high-performance vectorial wave simulations for seismic inversion with Devito. CoRR (2020)
Curt Da Silva, Felix J. Herrmann
A Unified 2D/3D Large-Scale Software Environment for Nonlinear Inverse Problems. ACM Trans. Math. Softw. 45 (1) (2019)
Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Neural network augmented wave-equation simulation. CoRR (2019)
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, Felix J. Herrmann
An Event-Driven Approach to Serverless Seismic Imaging in the Cloud. CoRR (2019)
Bas Peters, Felix J. Herrmann
Generalized Minkowski sets for the regularization of inverse problems. CoRR (2019)
Philipp A. Witte, Mathias Louboutin, Charles Jones, Felix J. Herrmann
Serverless seismic imaging in the cloud. CoRR (2019)
Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti
Learned imaging with constraints and uncertainty quantification. CoRR (2019)
Bas Peters, Felix J. Herrmann
Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems. CoRR (2019)
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, Gerard J. Gorman
Devito: an embedded domain-specific language for finite differences and geophysical exploration. CoRR (2018)
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
Architecture and performance of Devito, a system for automated stencil computation. CoRR (2018)
Ernie Esser, Lluis Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, Felix J. Herrmann
Total Variation Regularization Strategies in Full-Waveform Inversion. SIAM J. Imaging Sci. 11 (1) (2018)
Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, Gerard Gorman
Performance prediction of finite-difference solvers for different computer architectures. Comput. Geosci. 105 (2017)
Curt Da Silva, Felix J. Herrmann
A Unified 2D/3D Large Scale Software Environment for Nonlinear Inverse Problems. CoRR (2017)
Rajiv Kumar, Oscar Lopez, Damek Davis, Aleksandr Y. Aravkin, Felix J. Herrmann
Beating Level-Set Methods for 5-D Seismic Data Interpolation: A Primal-Dual Alternating Approach. IEEE Trans. Computational Imaging 3 (2) (2017)
Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, Gerard Gorman
Performance prediction of finite-difference solvers for different computer architectures. CoRR (2016)
Oscar Lopez, Rajiv Kumar, Özgür Yilmaz, Felix J. Herrmann
Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Ernie Esser, Tim T. Y. Lin, Felix J. Herrmann, Rongrong Wang
Resolving scaling ambiguities with the ℓ1/ℓ2 norm in a blind deconvolution problem with feedback. CAMSAP (2015)
Aleksandr Y. Aravkin, Rajiv Kumar, Hassan Mansour, Ben Recht, Felix J. Herrmann
Fast Methods for Denoising Matrix Completion Formulations, with Applications to Robust Seismic Data Interpolation. SIAM J. Sci. Comput. 36 (5) (2014)
Tristan van Leeuwen, Felix J. Herrmann
3D Frequency-Domain Seismic Inversion with Controlled Sloppiness. SIAM J. Sci. Comput. 36 (5) (2014)
Aleksandr Y. Aravkin, Rajiv Mittal, Hassan Mansour, Ben Recht, Felix J. Herrmann
An SVD-free Pareto curve approach to rank minimization CoRR (2013)
Felix J. Herrmann, Michael P. Friedlander, Özgür Yilmaz
Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology. IEEE Signal Process. Mag. 29 (3) (2012)
Felix J. Herrmann
Approximate message passing meets exploration seismology. SSP (2012)
Aleksandr Y. Aravkin, Xiang Li, Felix J. Herrmann
Fast seismic imaging for marine data. ICASSP (2012)
Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, Tristan van Leeuwen
Robust inversion, dimensionality reduction, and randomized sampling. Math. Program. 134 (1) (2012)
Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, Özgür Yilmaz
Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction. ACM Trans. Math. Softw. 35 (4) (2009)
Gilles Hennenfent, Felix J. Herrmann
Seismic Denoising with Nonuniformly Sampled Curvelets. Comput. Sci. Eng. 8 (3) (2006)
Deilson de Melo Tavares, Liacir dos Santos Lucena, Heron A. Schots, Evaldo Cesario Mundim, Felix J. Herrmann
The deconvolution of seismic data as a fluctuation analysis. Integr. Comput. Aided Eng. 12 (1) (2005)
Felix J. Herrmann
Seismic deconvolution by atomic decomposition: A parametric approach with sparseness constraints. Integr. Comput. Aided Eng. 12 (1) (2005)