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
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
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
Probabilistic Bayesian optimal experimental design using conditional normalizing flows.
CoRR, 2024
2023
Adv. Model. Simul. Eng. Sci., December, 2023
Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs.
Comput. Geosci., September, 2023
CoRR, 2023
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
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
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
CoRR, 2021
Preconditioned training of normalizing flows for variational inference in inverse problems.
CoRR, 2021
2020
IEEE Trans. Parallel Distributed Syst., 2020
ACM Trans. Math. Softw., 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
CoRR, 2020
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
ACM Trans. Math. Softw., 2019
Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems.
CoRR, 2019
2018
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
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
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
2012
IEEE Signal Process. Mag., 2012
Math. Program., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2009
ACM Trans. Math. Softw., 2009
2006
2005
Integr. Comput. Aided Eng., 2005
Seismic deconvolution by atomic decomposition: A parametric approach with sparseness constraints.
Integr. Comput. Aided Eng., 2005