Fetching the paper…
Reading the bibliography…
Seismic full waveform inversion (FWI) is a powerful geophysical imaging technique that produces high-resolution subsurface models by iteratively minimizing the misfit between the simulated and observed seismograms.
The form and laws of propagation of seismic wavelets
Norman Ricker · 1953
Earlier work this paper cites.
Calculation of the wasserstein distance between probability distributions on the line
SS Vallender · 1974
Earlier work this paper cites.
Inversion of seismic reflection data in the acoustic approximation
Albert Tarantola · 1984
Earlier work this paper cites.
Approximation capabilities of multilayer feedforward networks
Kurt Hornik · 1991
Earlier work this paper cites.
Seismic tomography: Theory and practice
HM Iyer and Kazuro Hirahara · 1993
Earlier work this paper cites.
The marmousi experience: Velocity model determination on a synthetic complex data set
Roelof Versteeg · 1994
Earlier work this paper cites.
SEG/EAEG 3-D modeling project: 2nd update
Fred Aminzadeh, N Burkhard, L Nicoletis, Fabio Rocca, and K Wyatt · 1994
Earlier work this paper cites.
Multiscale seismic waveform inversion
Carey Bunks, Fatimetou M Saleck, S Zaleski, and G Chavent · 1995
Earlier work this paper cites.
Pushing the limits of seismic imaging, Part II: Integration of prestack migration, velocity estimation, and avo analysis
AJ Berkhout · 1997
Earlier work this paper cites.
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
Ciyou Zhu, Richard H Byrd, Peihuang Lu, and Jorge Nocedal · 1997
Earlier work this paper cites.
New objective functions for waveform inversion
L Neil Frazer and Xinhua Sun · 1998
Earlier work this paper cites.
Tikhonov regularization and total least squares
Gene H Golub, Per Christian Hansen, and Dianne P O’Leary · 1999
Earlier work this paper cites.
A perfectly matched layer absorbing boundary condition for the second-order seismic wave equation
Dimitri Komatitsch and Jeroen Tromp · 2003
Earlier work this paper cites.
Source-independent full-waveform inversion of seismic data
Ki Ha Lee and Hee Joon Kim · 2003
Earlier work this paper cites.
Finite difference schemes and partial differential equations
John C Strikwerda · 2004
Earlier work this paper cites.
Introduction to mathematical statistics
Robert V Hogg, Joseph McKean, and Allen T Craig · 2005
Earlier work this paper cites.
A review of the adjoint-state method for computing the gradient of a functional with geophysical applications
R-E Plessix · 2006
Earlier work this paper cites.
Marmousi2: An elastic upgrade for marmousi
Gary S Martin, Robert Wiley, and Kurt J Marfurt · 2006
Earlier work this paper cites.
Full anelastic waveform tomography including model uncertainty
Aysegul Askan and Jacobo Bielak · 2008
Earlier work this paper cites.
An overview of full-waveform inversion in exploration geophysics
Jean Virieux and Stéphane Operto · 2009
Earlier work this paper cites.
Seismic imaging of complex onshore structures by 2D elastic frequency-domain full-waveform inversion
Romain Brossier, Stéphane Operto, and Jean Virieux · 2009
Earlier work this paper cites.
Simultaneous multifrequency inversion of full-waveform seismic data
Wenyi Hu, Aria Abubakar, and Tarek M Habashy · 2009
Earlier work this paper cites.
Optimal transport: Old and New
Cédric Villani · 2009
Earlier work this paper cites.
Convolutional networks and applications in vision
Yann LeCun, Koray Kavukcuoglu, and Clément Farabet · 2010
Earlier work this paper cites.
Large-scale machine learning with stochastic gradient descent
Léon Bottou · 2010
Earlier work this paper cites.
Extensions of recurrent neural network language model
Tomáš Mikolov, Stefan Kombrink, Lukáš Burget, Jan Černockỳ, and Sanjeev Khudanpur · 2011
Cited alongside, same era.
Source-independent time-domain waveform inversion using convolved wavefields: Application to the encoded multisource waveform inversion
Yunseok Choi and Tariq Alkhalifah · 2011
Cited alongside, same era.
Regularized seismic full waveform inversion with prior model information
Amir Asnaashari, Romain Brossier, Stéphane Garambois, François Audebert, Pierre Thore, and Jean Virieux · 2013
Cited alongside, same era.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Cited alongside, same era.
Application of weighted early-arrival waveform inversion to shallow land data
Han Yu, Dongliang Zhang, and Xin Wang · 2014
Cited alongside, same era.
Deep learning
Deep learning for denoising
Siwei Yu, Jianwei Ma, and Wenlong Wang · 2019
Later among the works it cites.
Deep-learning-based seismic data interpolation: A preliminary result
Benfeng Wang, Ning Zhang, Wenkai Lu, and Jialin Wang · 2019
Later among the works it cites.
Deep-learning inversion: A next-generation seismic velocity model building method
Fangshu Yang and Jianwei Ma · 2019
Later among the works it cites.
Deep learning-driven velocity model building workflow
Mauricio Araya-Polo, Stuart Farris, and Manuel Florez · 2019
Later among the works it cites.
InversionNet: An efficient and accurate data-driven full waveform inversion
Yue Wu and Youzuo Lin · 2019
Later among the works it cites.
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
Cited alongside, same era.
U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Cited alongside, same era.
Tensorflow: A system for large-scale machine learning
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al · 2016
Cited alongside, same era.
Optimal transport for seismic full waveform inversion
Björn Engquist, Brittany D Froese, and Yunan Yang · 2016
Cited alongside, same era.
Convolutional neural networks for inverse problems in imaging: A review
Michael T McCann, Kyong Hwan Jin, and Michael Unser · 2017
Cited alongside, same era.
Deep convolutional neural network for inverse problems in imaging
Kyong Hwan Jin, Michael T McCann, Emmanuel Froustey, and Michael Unser · 2017
Cited alongside, same era.
Maziar Raissi, Paris Perdikaris, and George E Karniadakis · 2019
Later among the works it cites.
Physics informed neural networks for velocity inversion
Yiran Xu, Jingye Li, and Xiaohong Chen · 2019
Later among the works it cites.
Parametric convolutional neural network-domain full-waveform inversion
Yulang Wu and George A McMechan · 2019
Later among the works it cites.
Semisupervised sequence modeling for elastic impedance inversion
Motaz Alfarraj and Ghassan AlRegib · 2019
Later among the works it cites.
Deep-learning projector for optical diffraction tomography
Fangshu Yang, Thanh-an Pham, Harshit Gupta, Michael Unser, and Jianwei Ma · 2020
Later among the works it cites.
Deep denoising autoencoder for seismic random noise attenuation
Omar M Saad and Yangkang Chen · 2020
Later among the works it cites.
Can learning from natural image denoising be used for seismic data interpolation?
Hao Zhang, Xiuyan Yang, and Jianwei Ma · 2020
Later among the works it cites.
Velocity model building in a crosswell acquisition geometry with image-trained artificial neural networks
Wenlong Wang and Jianwei Ma · 2020
Later among the works it cites.
Data-driven seismic waveform inversion: A study on the robustness and generalization
Zhongping Zhang and Youzuo Lin · 2020
Later among the works it cites.
Physics informed machine learning: Seismic wave equation
Sadegh Karimpouli and Pejman Tahmasebi · 2020
Later among the works it cites.
Weiqiang Zhu, Kailai Xu, Eric Darve, Biondo Biondi, and Gregory C Beroza · 2020
Later among the works it cites.
Seismic data reconstruction using deep bidirectional long short-term memory with skip connections
Daeung Yoon, Zeu Yeeh, and Joongmoo Byun · 2020
Later among the works it cites.
Seismic velocity estimation: A deep recurrent neural-network approach
Gabriel Fabien-Ouellet and Rahul Sarkar · 2020
Later among the works it cites.
A theory-guided deep-learning formulation and optimization of seismic waveform inversion
Jian Sun, Zhan Niu, Kristopher A Innanen, Junxiao Li, and Daniel O Trad · 2020
Later among the works it cites.
Seismic velocity estimation: A deep recurrent neural-network approach
Gabriel Fabien-Ouellet and Rahul Sarkar · 2020
Later among the works it cites.
A physics-based neural-network way to perform seismic full waveform inversion
Yuxiao Ren, Xinji Xu, Senlin Yang, Lichao Nie, and Yangkang Chen · 2020
Later among the works it cites.
Robust phase unwrapping via deep image prior for quantitative phase imaging
Fangshu Yang, Thanh-an Pham, Nathalie Brandenberg, Matthias P Lütolf, Jianwei Ma, and Michael Unser · 2021
Closest in time.
CryoGAN: A new reconstruction paradigm for single-particle Cryo-EM via deep adversarial learning
Harshit Gupta, Michael Thompson Mccann, Laurene Donati, and Michael Unser · 2021
Closest in time.
Deep learning for geophysics: Current and future trends
Siwei Yu and Jianwei Ma · 2021
Closest in time.
Elastic isotropic and anisotropic full wave-form inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks
Wenlong Wang, George A McMechan, and Jianwei Ma · 2021
Closest in time.