@incollection{fang2020deep, title={Deep generator priors for Bayesian seismic inversion}, author={Fang, Zhilong and Fang, Hongjian and Demanet, Laurent}, booktitle={Advances in geophysics}, volume={61}, pages={179--216}, year={2020}, publisher={Elsevier} } @inproceedings{asim2020invertible, title={Invertible generative models for inverse problems: mitigating representation error and dataset bias}, author={Asim, Muhammad and Daniels, Max and Leong, Oscar and Ahmed, Ali and Hand, Paul}, booktitle={International conference on machine learning}, pages={399--409}, year={2020}, organization={PMLR} } @article{pratt1999seismic, title={Seismic waveform inversion in the frequency domain, Part 1: Theory and verification in a physical scale model}, author={Pratt, R Gerhard}, journal={Geophysics}, volume={64}, number={3}, pages={888--901}, year={1999}, publisher={Society of Exploration Geophysicists} } @article{siahkoohi2023, title = {Reliable amortized variational inference with physics-based latent distribution correction}, author = {Siahkoohi, Ali and Rizzuti, Gabrio and Orozco, Rafael and Herrmann, Felix J.}, year = {2023}, month = {04}, date = {2023-04-13}, journal = {GEOPHYSICS}, pages = {R297--R322}, volume = {88}, number = {3}, doi = {10.1190/geo2022-0472.1}, url = {http://dx.doi.org/10.1190/geo2022-0472.1}, langid = {en} } @article{orozco2023, title = {Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification}, author = {Orozco, Rafael and Siahkoohi, Ali and Rizzuti, Gabrio and van Leeuwen, Tristan and Herrmann, Felix}, editor = {{I{\v{s}}gum}, Ivana and Colliot, Olivier}, year = {2023}, month = {04}, date = {2023-04-03}, journal = {Medical Imaging 2023: Image Processing}, doi = {10.1117/12.2651691}, url = {http://dx.doi.org/10.1117/12.2651691} } @article{hou2016, title = {Accelerating extended least-squares migration with weighted conjugate gradient iteration}, author = {Hou, Jie and Symes, William W.}, year = {2016}, month = {07}, date = {2016-07}, journal = {GEOPHYSICS}, pages = {S165--S179}, volume = {81}, number = {4}, doi = {10.1190/geo2015-0499.1}, url = {http://dx.doi.org/10.1190/geo2015-0499.1}, langid = {en} } @article{virieux2009, title = {An overview of full-waveform inversion in exploration geophysics}, author = {Virieux, J. and Operto, S.}, year = {2009}, month = {11}, date = {2009-11}, journal = {GEOPHYSICS}, pages = {WCC1--WCC26}, volume = {74}, number = {6}, doi = {10.1190/1.3238367}, url = {http://dx.doi.org/10.1190/1.3238367}, langid = {en} } @article{winkler2019learning, title={Learning likelihoods with conditional normalizing flows}, author={Winkler, Christina and Worrall, Daniel and Hoogeboom, Emiel and Welling, Max}, journal={arXiv preprint arXiv:1912.00042}, year={2019} } @inproceedings{kruse2021hint, title={HINT: Hierarchical invertible neural transport for density estimation and Bayesian inference}, author={Kruse, Jakob and Detommaso, Gianluca and K{\"o}the, Ullrich and Scheichl, Robert}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, volume={35}, number={9}, pages={8191--8199}, year={2021} } @article{radev2020bayesflow, title={BayesFlow: Learning complex stochastic models with invertible neural networks}, author={Radev, Stefan T and Mertens, Ulf K and Voss, Andreas and Ardizzone, Lynton and K{\"o}the, Ullrich}, journal={IEEE transactions on neural networks and learning systems}, volume={33}, number={4}, pages={1452--1466}, year={2020}, publisher={IEEE} } @article{zhao2022bayesian, title={Bayesian seismic tomography using normalizing flows}, author={Zhao, Xuebin and Curtis, Andrew and Zhang, Xin}, journal={Geophysical Journal International}, volume={228}, number={1}, pages={213--239}, year={2022}, publisher={Oxford University Press} } @article{zhang20233, title={3-D Bayesian variational full waveform inversion}, author={Zhang, Xin and Lomas, Angus and Zhou, Muhong and Zheng, York and Curtis, Andrew}, journal={Geophysical Journal International}, volume={234}, number={1}, pages={546--561}, year={2023}, publisher={Oxford University Press} } @inproceedings{marino2018iterative, title={Iterative amortized inference}, author={Marino, Joe and Yue, Yisong and Mandt, Stephan}, booktitle={International Conference on Machine Learning}, pages={3403--3412}, year={2018}, organization={PMLR} } @article{yosinski2014transferable, title={How transferable are features in deep neural networks?}, author={Yosinski, Jason and Clune, Jeff and Bengio, Yoshua and Lipson, Hod}, journal={Advances in neural information processing systems}, volume={27}, year={2014} } @article{siahkoohi2019importance, title={The importance of transfer learning in seismic modeling and imaging}, author={Siahkoohi, Ali and Louboutin, Mathias and Herrmann, Felix J}, journal={Geophysics}, volume={84}, number={6}, pages={A47--A52}, year={2019}, publisher={Society of Exploration Geophysicists} } @incollection{siahkoohi2020weak, title={Weak deep priors for seismic imaging}, author={Siahkoohi, Ali and Rizzuti, Gabrio and Herrmann, Felix J}, booktitle={SEG Technical Program Expanded Abstracts 2020}, pages={2998--3002}, year={2020}, publisher={Society of Exploration Geophysicists} } @article{esser2018total, title={Total variation regularization strategies in full-waveform inversion}, author={Esser, Ernie and Guasch, Lluis and van Leeuwen, Tristan and Aravkin, Aleksandr Y and Herrmann, Felix J}, journal={SIAM Journal on Imaging Sciences}, volume={11}, number={1}, pages={376--406}, year={2018}, publisher={SIAM} } @article{peters2017constraints, title={Constraints versus penalties for edge-preserving full-waveform inversion}, author={Peters, Bas and Herrmann, Felix J}, journal={The Leading Edge}, volume={36}, number={1}, pages={94--100}, year={2017}, publisher={Society of Exploration Geophysicists} } @article{peters2019projection, title={Projection methods and applications for seismic nonlinear inverse problems with multiple constraints}, author={Peters, Bas and Smithyman, Brendan R and Herrmann, Felix J}, journal={Geophysics}, volume={84}, number={2}, pages={R251--R269}, year={2019}, publisher={Society of Exploration Geophysicists} } @article{bunks1995multiscale, title={Multiscale seismic waveform inversion}, author={Bunks, Carey and Saleck, Fatimetou M and Zaleski, S and Chavent, G}, journal={Geophysics}, volume={60}, number={5}, pages={1457--1473}, year={1995}, publisher={Society of Exploration Geophysicists} } @inproceedings{e.jones2012, title={Building complex synthetic models to evaluate acquisition geometries and velocity inversion technologies}, author={Jones, CE and Edgar, JA and Selvage, JI and Crook, H}, booktitle={74th EAGE Conference and Exhibition incorporating EUROPEC 2012}, pages={cp--293}, year={2012}, organization={European Association of Geoscientists \& Engineers} } @article{hennenfent2008simply, title={Simply denoise: Wavefield reconstruction via jittered undersampling}, author={Hennenfent, Gilles and Herrmann, Felix J}, journal={Geophysics}, volume={73}, number={3}, pages={V19--V28}, year={2008}, publisher={Society of Exploration Geophysicists} } @inproceedings{cremer2018inference, title={Inference suboptimality in variational autoencoders}, author={Cremer, Chris and Li, Xuechen and Duvenaud, David}, booktitle={International Conference on Machine Learning}, pages={1078--1086}, year={2018}, organization={PMLR} } @article{ely2018assessing, title={Assessing uncertainties in velocity models and images with a fast nonlinear uncertainty quantification method}, author={Ely, Gregory and Malcolm, Alison and Poliannikov, Oleg V}, journal={Geophysics}, volume={83}, number={2}, pages={R63--R75}, year={2018}, publisher={Society of Exploration Geophysicists} } @article{keating2021null, title={Null-space shuttles for targeted uncertainty analysis in full-waveform inversion}, author={Keating, Scott D and Innanen, Kristopher A}, journal={Geophysics}, volume={86}, number={1}, pages={R63--R76}, year={2021}, publisher={Society of Exploration Geophysicists} } @article{izzatullah2023physics, title={Physics reliable frugal uncertainty analysis for full waveform inversion}, author={Izzatullah, Muhammad and Ravasi, Matteo and Alkhalifah, Tariq}, journal={arXiv preprint arXiv:2305.07921}, year={2023} } @article{vigh2023forge, title={Forge ahead in acquisition and model building via full-waveform inversion: Gulf of Mexico case study}, author={Vigh, Denes and Cheng, Xin and Xu, James and Jiao, Kun}, journal={Geophysics}, volume={88}, number={5}, pages={B285--B295}, year={2023}, publisher={Society of Exploration Geophysicists} } @article{cranmer2020frontier, title={The frontier of simulation-based inference}, author={Cranmer, Kyle and Brehmer, Johann and Louppe, Gilles}, journal={Proceedings of the National Academy of Sciences}, volume={117}, number={48}, pages={30055--30062}, year={2020}, publisher={National Acad Sciences} } @book{sen2013global, title={Global optimization methods in geophysical inversion}, author={Sen, Mrinal K and Stoffa, Paul L}, year={2013}, publisher={Cambridge University Press} } @article{sen1996bayesian, title={Bayesian inference, Gibbs' sampler and uncertainty estimation in geophysical inversion1}, author={Sen, Mrinal K and Stoffa, Paul L}, journal={Geophysical Prospecting}, volume={44}, number={2}, pages={313--350}, year={1996}, publisher={European Association of Geoscientists \& Engineers} } @article{wei2024reconstruction, title={Reconstruction of multiple target bodies using trans-dimensional Bayesian inversion with different constraints}, author={Wei, Xiaolong and Sun, Jiajia and Sen, Mrinal K}, journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2024}, publisher={IEEE} } @article{wei2023quantifying, title={Quantifying uncertainty of salt body shapes recovered from gravity data using trans-dimensional Markov chain Monte Carlo sampling}, author={Wei, Xiaolong and Sun, Jiajia and Sen, Mrinal K}, journal={Geophysical Journal International}, volume={232}, number={3}, pages={1957--1978}, year={2023}, publisher={Oxford University Press} } @article{wei20243d, title={3D Monte Carlo geometry inversion using gravity data}, author={Wei, Xiaolong and Sun, Jiajia and Sen, Mrinal}, journal={Geophysics}, volume={89}, number={3}, pages={1--62}, year={2024}, publisher={Society of Exploration Geophysicists} } @article{cowles1996markov, title={Markov chain Monte Carlo convergence diagnostics: a comparative review}, author={Cowles, Mary Kathryn and Carlin, Bradley P}, journal={Journal of the American statistical Association}, volume={91}, number={434}, pages={883--904}, year={1996}, publisher={Taylor \& Francis} } @article{liang2023uncertainty, title={Uncertainty quantification of geologic model parameters in 3D gravity inversion by Hessian-informed Markov chain Monte Carlo}, author={Liang, Zhouji and Wellmann, Florian and Ghattas, Omar}, journal={Geophysics}, volume={88}, number={1}, pages={G1--G18}, year={2023}, publisher={Society of Exploration Geophysicists} } @article{siahkoohi2022deep, title={Deep Bayesian inference for seismic imaging with tasks}, author={Siahkoohi, Ali and Rizzuti, Gabrio and Herrmann, Felix J}, journal={Geophysics}, volume={87}, number={5}, pages={S281--S302}, year={2022}, publisher={Society of Exploration Geophysicists} } @article{jordan1999introduction, title={An introduction to variational methods for graphical models}, author={Jordan, Michael I and Ghahramani, Zoubin and Jaakkola, Tommi S and Saul, Lawrence K}, journal={Machine learning}, volume={37}, pages={183--233}, year={1999}, publisher={Springer} } @article{yin2023solving, title={Solving multiphysics-based inverse problems with learned surrogates and constraints}, author={Yin, Ziyi and Orozco, Rafael and Louboutin, Mathias and Herrmann, Felix J}, journal={Advanced Modeling and Simulation in Engineering Sciences}, volume={10}, number={1}, pages={14}, year={2023}, publisher={Springer} } @inproceedings{sudret2017surrogate, title={Surrogate models for uncertainty quantification: An overview}, author={Sudret, Bruno and Marelli, Stefano and Wiart, Joe}, booktitle={2017 11th European conference on antennas and propagation (EUCAP)}, pages={793--797}, year={2017}, organization={IEEE} } @article{grady2023model, title={Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs}, author={Grady, Thomas J and Khan, Rishi and Louboutin, Mathias and Yin, Ziyi and Witte, Philipp A and Chandra, Ranveer and Hewett, Russell J and Herrmann, Felix J}, journal={Computers \& Geosciences}, volume={178}, pages={105402}, year={2023}, publisher={Elsevier} } @article{lehmann20243d, title={3D elastic wave propagation with a factorized Fourier neural operator (F-FNO)}, author={Lehmann, Fanny and Gatti, Filippo and Bertin, Micha{\"e}l and Clouteau, Didier}, journal={Computer Methods in Applied Mechanics and Engineering}, volume={420}, pages={116718}, year={2024}, publisher={Elsevier} } @incollection{zhang2021introduction, title={An introduction to variational inference in geophysical inverse problems}, author={Zhang, Xin and Nawaz, Muhammad Atif and Zhao, Xuebin and Curtis, Andrew}, booktitle={Advances in geophysics}, volume={62}, pages={73--140}, year={2021}, publisher={Elsevier} } @article{zhang2023bayesian, title={Bayesian variational time-lapse full waveform inversion}, author={Zhang, Xin and Curtis, Andrew}, journal={Geophysical Journal International}, volume={237}, number={3}, pages={1624--1638}, year={2024}, publisher={Oxford University Press} } @article{strutz2024variational, title={Variational Bayesian experimental design for geophysical applications: seismic source location, amplitude versus offset inversion, and estimating CO2 saturations in a subsurface reservoir}, author={Strutz, Dominik and Curtis, Andrew}, journal={Geophysical Journal International}, volume={236}, number={3}, pages={1309--1331}, year={2024}, publisher={Oxford University Press} } % @article{zhao2022bayesian, % title={Bayesian seismic tomography using normalizing flows}, % author={Zhao, Xuebin and Curtis, Andrew and Zhang, Xin}, % journal={Geophysical Journal International}, % volume={228}, % number={1}, % pages={213--239}, % year={2022}, % publisher={Oxford University Press} % } @article{baldassari2023conditional, title={Conditional score-based diffusion models for Bayesian inference in infinite dimensions}, author={Baldassari, Lorenzo and Siahkoohi, Ali and Garnier, Josselin and Solna, Knut and de Hoop, Maarten V}, journal={Advances in Neural Information Processing Systems}, volume={36}, year={2024} } @article{batzolis2021conditional, title={Conditional image generation with score-based diffusion models}, author={Batzolis, Georgios and Stanczuk, Jan and Sch{\"o}nlieb, Carola-Bibiane and Etmann, Christian}, journal={arXiv preprint arXiv:2111.13606}, year={2021} } @inproceedings{rezende2015variational, title={Variational inference with normalizing flows}, author={Rezende, Danilo and Mohamed, Shakir}, booktitle={International conference on machine learning}, pages={1530--1538}, year={2015}, organization={PMLR} } @article{song2020score, title={Score-based generative modeling through stochastic differential equations}, author={Song, Yang and Sohl-Dickstein, Jascha and Kingma, Diederik P and Kumar, Abhishek and Ermon, Stefano and Poole, Ben}, journal={arXiv preprint arXiv:2011.13456}, year={2020} } % @article{winkler2019learning, % title={Learning likelihoods with conditional normalizing flows}, % author={Winkler, Christina and Worrall, Daniel and Hoogeboom, Emiel and Welling, Max}, % journal={arXiv preprint arXiv:1912.00042}, % year={2019} % } @inproceedings{orozco2023amortized, title={Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification}, author={Rafael Orozco and Mathias Louboutin and Ali Siahkoohi and Gabrio Rizzuti and Tristan van Leeuwen and Felix Johan Herrmann}, booktitle={Medical Imaging with Deep Learning}, year={2023}, url={https://openreview.net/forum?id=LoJG-lUIlk} } @article{yin2024wise, title={WISE: full-Waveform variational Inference via Subsurface Extensions}, author={Yin, Ziyi and Orozco, Rafael and Louboutin, Mathias and Herrmann, Felix J}, journal={Geophysics}, volume={89}, number={4}, pages={1--31}, year={2024}, publisher={Society of Exploration Geophysicists} } @inproceedings{whang2021composing, title={Composing normalizing flows for inverse problems}, author={Whang, Jay and Lindgren, Erik and Dimakis, Alex}, booktitle={International Conference on Machine Learning}, pages={11158--11169}, year={2021}, organization={PMLR} } @inproceedings{orozco2021photoacoustic, title={Photoacoustic imaging with conditional priors from normalizing flows}, author={Orozco, Rafael and Siahkoohi, Ali and Rizzuti, Gabrio and van Leeuwen, Tristan and Herrmann, Felix Johan}, booktitle={NeurIPS 2021 Workshop on Deep Learning and Inverse Problems}, year={2021} } @article{herrmann2013frugal, title={Frugal full-waveform inversion: From theory to a practical algorithm}, author={Herrmann, Felix J and Hanlon, Ian and Kumar, Rajiv and Leeuwen, Tristan van and Li, Xiang and Smithyman, Brendan and Wason, Haneet and Calvert, Andrew J and Javanmehri, Mostafa and Takougang, Eric Takam}, journal={The Leading Edge}, volume={32}, number={9}, pages={1082--1092}, year={2013}, publisher={Society of Exploration Geophysicists} } @article{gauthier1986two, title={Two-dimensional nonlinear inversion of seismic waveforms: Numerical results}, author={Gauthier, Odile and Virieux, Jean and Tarantola, Albert}, journal={geophysics}, volume={51}, number={7}, pages={1387--1403}, year={1986}, publisher={Society of Exploration Geophysicists} } @article{symes2008migration, title={Migration velocity analysis and waveform inversion}, author={Symes, William W}, journal={Geophysical prospecting}, volume={56}, number={6}, pages={765--790}, year={2008}, publisher={European Association of Geoscientists \& Engineers} } @article{sheng2023seismic, title={Seismic Foundation Model (SFM): a new generation deep learning model in geophysics}, author={Sheng, Hanlin and Wu, Xinming and Si, Xu and Li, Jintao and Zhang, Sibio and Duan, Xudong}, journal={arXiv preprint arXiv:2309.02791}, year={2023} } @article{jin2021unsupervised, title={Unsupervised learning of full-waveform inversion: Connecting CNN and partial differential equation in a loop}, author={Jin, Peng and Zhang, Xitong and Chen, Yinpeng and Huang, Sharon Xiaolei and Liu, Zicheng and Lin, Youzuo}, journal={arXiv preprint arXiv:2110.07584}, year={2021} } @article{nguyen2024tnet, title={Tnet: A model-constrained tikhonov network approach for inverse problems}, author={Nguyen, Hai V and Bui-Thanh, Tan}, journal={SIAM Journal on Scientific Computing}, volume={46}, number={1}, pages={C77--C100}, year={2024}, publisher={SIAM} } @article{baysal1983reverse, title={Reverse time migration}, author={Baysal, Edip and Kosloff, Dan D and Sherwood, John WC}, journal={Geophysics}, volume={48}, number={11}, pages={1514--1524}, year={1983}, publisher={Society of Exploration Geophysicists} } @article{yang2021low, title={Low-rank representation of omnidirectional subsurface extended image volumes}, author={Yang, Mengmeng and Graff, Marie and Kumar, Rajiv and Herrmann, Felix J}, journal={Geophysics}, volume={86}, number={3}, pages={S165--S183}, year={2021}, publisher={Society of Exploration Geophysicists} } @article{ten2023omnidirectional, title={An omnidirectional seismic image extension}, author={ten Kroode, Fons}, journal={Inverse Problems}, volume={39}, number={3}, pages={035003}, year={2023}, publisher={IOP Publishing} } @article{hoffmann2024local, title={Local uncertainty quantification for 3-D time-domain full-waveform inversion with ensemble Kalman filters: application to a North Sea OBC data set}, author={Hoffmann, Alexandre and Brossier, Romain and M{\'e}tivier, Ludovic and Tarayoun, Alizia}, journal={Geophysical Journal International}, volume={237}, number={3}, pages={1353--1383}, year={2024}, publisher={Oxford University Press} } @article{dhabaria2024hamiltonian, title={Hamiltonian Monte Carlo based elastic full-waveform inversion of wide-angle seismic data}, author={Dhabaria, Nirmit and Singh, Satish C}, journal={Geophysical Journal International}, volume={237}, number={3}, pages={1384--1399}, year={2024}, publisher={Oxford University Press} } @article{orozco2023invertiblenetworks, title={InvertibleNetworks.jl: A Julia package for scalable normalizing flows}, author={Orozco, Rafael and Witte, Philipp and Louboutin, Mathias and Siahkoohi, Ali and Rizzuti, Gabrio and Peters, Bas and Herrmann, Felix J}, journal={arXiv preprint arXiv:2312.13480}, year={2023} } @article{fang2018uncertainty, title={Uncertainty quantification for inverse problems with weak partial-differential-equation constraints}, author={Fang, Zhilong and Da Silva, Curt and Kuske, Rachel and Herrmann, Felix J}, journal={Geophysics}, volume={83}, number={6}, pages={R629--R647}, year={2018}, publisher={Society of Exploration Geophysicists} }