Felix J. Herrmann

Orcid: 0000-0003-1180-2167

According to our database1, Felix J. Herrmann authored at least 65 papers between 2005 and 2024.

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Bibliography

2024
InvertibleNetworks.jl: A Julia package for scalable normalizing flows.
J. Open Source Softw., 2024

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring.
CoRR, 2024

Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations with Diffusion Models.
CoRR, 2024

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction.
CoRR, 2024

ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems.
CoRR, 2024

BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO<sub>2</sub> sequestration.
CoRR, 2024

Time-lapse full-waveform permeability inversion: a feasibility study.
CoRR, 2024

Probabilistic Bayesian optimal experimental design using conditional normalizing flows.
CoRR, 2024

WISE: full-Waveform variational Inference via Subsurface Extensions.
CoRR, 2024

2023
Solving multiphysics-based inverse problems with learned surrogates and constraints.
Adv. Model. Simul. Eng. Sci., December, 2023

Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs.
Comput. Geosci., September, 2023

Spectral Gap-Based Seismic Survey Design.
IEEE Trans. Geosci. Remote. Sens., 2023

Inference of CO2 flow patterns - a feasibility study.
CoRR, 2023

Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics.
CoRR, 2023

Learned multiphysics inversion with differentiable programming and machine learning.
CoRR, 2023

Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification.
Proceedings of the Medical Imaging with Deep Learning, 2023

2022
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images.
CoRR, 2022

De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection.
CoRR, 2022

Reliable amortized variational inference with physics-based latent distribution correction.
CoRR, 2022

Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging.
CoRR, 2022

Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators.
CoRR, 2022

Accelerating innovation with software abstractions for scalable computational geophysics.
CoRR, 2022

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators.
CoRR, 2022

Velocity continuation with Fourier neural operators for accelerated uncertainty quantification.
CoRR, 2022

Graph Spectrum Based Seismic Survey Design.
CoRR, 2022

Enabling wave-based inversion on GPUs with randomized trace estimation.
CoRR, 2022

2021
Low-memory stochastic backpropagation with multi-channel randomized trace estimation.
CoRR, 2021

Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model.
CoRR, 2021

Learning by example: fast reliability-aware seismic imaging with normalizing flows.
CoRR, 2021

Ultra-low memory seismic inversion with randomized trace estimation.
CoRR, 2021

Preconditioned training of normalizing flows for variational inference in inverse problems.
CoRR, 2021

2020
An Event-Driven Approach to Serverless Seismic Imaging in the Cloud.
IEEE Trans. Parallel Distributed Syst., 2020

Architecture and Performance of Devito, a System for Automated Stencil Computation.
ACM Trans. Math. Softw., 2020

Accelerating Sparse Recovery by Reducing Chatter.
SIAM J. Imaging Sci., 2020

Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows.
CoRR, 2020

Scaling through abstractions - high-performance vectorial wave simulations for seismic inversion with Devito.
CoRR, 2020

Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization.
CoRR, 2020

Extended source imaging, a unifying framework for seismic & medical imaging.
CoRR, 2020

Transfer learning in large-scale ocean bottom seismic wavefield reconstruction.
CoRR, 2020

Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach.
CoRR, 2020

A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification.
CoRR, 2020

2019
A Unified 2D/3D Large-Scale Software Environment for Nonlinear Inverse Problems.
ACM Trans. Math. Softw., 2019

Serverless seismic imaging in the cloud.
CoRR, 2019

Neural network augmented wave-equation simulation.
CoRR, 2019

Learned imaging with constraints and uncertainty quantification.
CoRR, 2019

Generalized Minkowski sets for the regularization of inverse problems.
CoRR, 2019

Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems.
CoRR, 2019

2018
Total Variation Regularization Strategies in Full-Waveform Inversion.
SIAM J. Imaging Sci., 2018

Devito: an embedded domain-specific language for finite differences and geophysical exploration.
CoRR, 2018

2017
Beating Level-Set Methods for 5-D Seismic Data Interpolation: A Primal-Dual Alternating Approach.
IEEE Trans. Computational Imaging, 2017

Performance prediction of finite-difference solvers for different computer architectures.
Comput. Geosci., 2017

2016
Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction.
IEEE J. Sel. Top. Signal Process., 2016

2015
Resolving scaling ambiguities with the ℓ1/ℓ2 norm in a blind deconvolution problem with feedback.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
3D Frequency-Domain Seismic Inversion with Controlled Sloppiness.
SIAM J. Sci. Comput., 2014

Fast Methods for Denoising Matrix Completion Formulations, with Applications to Robust Seismic Data Interpolation.
SIAM J. Sci. Comput., 2014

2013
An SVD-free Pareto curve approach to rank minimization
CoRR, 2013

2012
Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology.
IEEE Signal Process. Mag., 2012

Robust inversion, dimensionality reduction, and randomized sampling.
Math. Program., 2012

Approximate message passing meets exploration seismology.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Fast seismic imaging for marine data.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2009
Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction.
ACM Trans. Math. Softw., 2009

2006
Seismic Denoising with Nonuniformly Sampled Curvelets.
Comput. Sci. Eng., 2006

2005
The deconvolution of seismic data as a fluctuation analysis.
Integr. Comput. Aided Eng., 2005

Seismic deconvolution by atomic decomposition: A parametric approach with sparseness constraints.
Integr. Comput. Aided Eng., 2005


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