Felix J. Herrmann

Peng Chen

CoRR, 2024

WISE: full-Waveform variational Inference via Subsurface Extensions.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Solving multiphysics-based inverse problems with learned surrogates and constraints.

[BibT_eX]

[DOI]

Adv. Model. Simul. Eng. Sci., December, 2023

Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs.

[BibT_eX]

[DOI]

Comput. Geosci., September, 2023

Spectral Gap-Based Seismic Survey Design.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

InvertibleNetworks.jl: A Julia package for scalable normalizing flows.

[BibT_eX]

[DOI]

CoRR, 2023

Inference of CO2 flow patterns - a feasibility study.

[BibT_eX]

[DOI]

Abhinav Prakash Gahlot

CoRR, 2023

Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics.

[BibT_eX]

[DOI]

CoRR, 2023

Learned multiphysics inversion with differentiable programming and machine learning.

[BibT_eX]

[DOI]

CoRR, 2023

Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Huseyin Tuna Erdinc

Abhinav Prakash Gahlot

Ziyi Yin

CoRR, 2022

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

[BibT_eX]

[DOI]

Ziyi Yin

Huseyin Tuna Erdinc

Abhinav Prakash Gahlot

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging.

[BibT_eX]

[DOI]

Rafael Orozco

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Accelerating innovation with software abstractions for scalable computational geophysics.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Velocity continuation with Fourier neural operators for accelerated uncertainty quantification.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Spectrum Based Seismic Survey Design.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Ziyi Yin

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Ultra-low memory seismic inversion with randomized trace estimation.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

2020

An Event-Driven Approach to Serverless Seismic Imaging in the Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

Architecture and Performance of Devito, a System for Automated Stencil Computation.

[BibT_eX]

[DOI]

ACM Trans. Math. Softw., 2020

Accelerating Sparse Recovery by Reducing Chatter.

[BibT_eX]

[DOI]

Emmanouil Daskalakis

Rachel Kuske

SIAM J. Imaging Sci., 2020

Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Mi Zhang

CoRR, 2020

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

[BibT_eX]

[DOI]

Gabrio Rizzuti

CoRR, 2020

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

[BibT_eX]

[DOI]

Gabrio Rizzuti

CoRR, 2020

2019

A Unified 2D/3D Large-Scale Software Environment for Nonlinear Inverse Problems.

[BibT_eX]

[DOI]

Curt Da Silva

ACM Trans. Math. Softw., 2019

Serverless seismic imaging in the cloud.

[BibT_eX]

[DOI]

CoRR, 2019

Neural network augmented wave-equation simulation.

[BibT_eX]

[DOI]

CoRR, 2019

Learned imaging with constraints and uncertainty quantification.

[BibT_eX]

[DOI]

Gabrio Rizzuti

CoRR, 2019

Generalized Minkowski sets for the regularization of inverse problems.

[BibT_eX]

[DOI]

Bas Peters

CoRR, 2019

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

[BibT_eX]

[DOI]

Bas Peters

CoRR, 2019

2018

Total Variation Regularization Strategies in Full-Waveform Inversion.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

2017

Beating Level-Set Methods for 5-D Seismic Data Interpolation: A Primal-Dual Alternating Approach.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2017

Performance prediction of finite-difference solvers for different computer architectures.

[BibT_eX]

[DOI]

Comput. Geosci., 2017

2016

Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2016

2015

Resolving scaling ambiguities with the ℓ1/ℓ2 norm in a blind deconvolution problem with feedback.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Tristan van Leeuwen

SIAM J. Sci. Comput., 2014

Fast Methods for Denoising Matrix Completion Formulations, with Applications to Robust Seismic Data Interpolation.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2014

2013

An SVD-free Pareto curve approach to rank minimization

[BibT_eX]

[DOI]

CoRR, 2013

2012

Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology.

[BibT_eX]

[DOI]

Michael P. Friedlander

Özgür Yilmaz

IEEE Signal Process. Mag., 2012

Robust inversion, dimensionality reduction, and randomized sampling.

[BibT_eX]

[DOI]

Aleksandr Y. Aravkin

Michael P. Friedlander

Tristan van Leeuwen

Math. Program., 2012

Approximate message passing meets exploration seismology.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Fast seismic imaging for marine data.

[BibT_eX]

[DOI]

Aleksandr Y. Aravkin

Xiang Li

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2009

Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction.

[BibT_eX]

[DOI]

Ewout van den Berg

Michael P. Friedlander

ACM Trans. Math. Softw., 2009

2006

Seismic Denoising with Nonuniformly Sampled Curvelets.

[BibT_eX]

[DOI]

Gilles Hennenfent

Comput. Sci. Eng., 2006

2005

The deconvolution of seismic data as a fluctuation analysis.

[BibT_eX]

[DOI]

Deilson de Melo Tavares

Liacir dos Santos Lucena

Heron A. Schots

Evaldo Cesario Mundim

Integr. Comput. Aided Eng., 2005

Seismic deconvolution by atomic decomposition: A parametric approach with sparseness constraints.

[BibT_eX]

[DOI]