
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Deep Bayesian inference for seismic imaging with tasks
Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
Geophysics (2022) Vol. 87, Iss. 5, pp. S281-S302
Open Access | Times Cited: 21
Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
Geophysics (2022) Vol. 87, Iss. 5, pp. S281-S302
Open Access | Times Cited: 21
Showing 21 citing articles:
Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples
Darío Graña, Leonardo Azevedo, Leandro de Figueiredo, et al.
Geophysics (2022) Vol. 87, Iss. 5, pp. M199-M216
Closed Access | Times Cited: 54
Darío Graña, Leonardo Azevedo, Leandro de Figueiredo, et al.
Geophysics (2022) Vol. 87, Iss. 5, pp. M199-M216
Closed Access | Times Cited: 54
Reliable amortized variational inference with physics-based latent distribution correction
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, et al.
Geophysics (2023) Vol. 88, Iss. 3, pp. R297-R322
Open Access | Times Cited: 20
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, et al.
Geophysics (2023) Vol. 88, Iss. 3, pp. R297-R322
Open Access | Times Cited: 20
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 17
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 17
Bayesian Inversion, Uncertainty Analysis and Interrogation Using Boosting Variational Inference
Xuebin Zhao, Andrew Curtis
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 1
Open Access | Times Cited: 8
Xuebin Zhao, Andrew Curtis
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 1
Open Access | Times Cited: 8
Learned multiphysics inversion with differentiable programming and machine learning
Mathias Louboutin, Ziyi Yin, Rafael Orozco, et al.
The Leading Edge (2023) Vol. 42, Iss. 7, pp. 474-486
Open Access | Times Cited: 9
Mathias Louboutin, Ziyi Yin, Rafael Orozco, et al.
The Leading Edge (2023) Vol. 42, Iss. 7, pp. 474-486
Open Access | Times Cited: 9
Interrogating Subsurface Structures Using Probabilistic Tomography: An Example Assessing the Volume of Irish Sea Basins
Xuebin Zhao, Andrew Curtis, Xin Zhang
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 4
Open Access | Times Cited: 11
Xuebin Zhao, Andrew Curtis, Xin Zhang
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 4
Open Access | Times Cited: 11
Bayesian Inversion, Uncertainty Analysis and Interrogation using Boosting Variational Inference
Xuebin Zhao, Andrew Curtis
Authorea (Authorea) (2023)
Open Access | Times Cited: 4
Xuebin Zhao, Andrew Curtis
Authorea (Authorea) (2023)
Open Access | Times Cited: 4
VIP - Variational Inversion Package with example implementations of Bayesian tomographic imaging
Xin Zhang, Andrew Curtis
Seismica (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Xin Zhang, Andrew Curtis
Seismica (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Geostatistical Inversion for Subsurface Characterization Using Stein Variational Gradient Descent With Autoencoder Neural Network: An Application to Geologic Carbon Sequestration
Mingliang Liu, Darío Graña, Tapan Mukerji
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 7
Open Access | Times Cited: 1
Mingliang Liu, Darío Graña, Tapan Mukerji
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 7
Open Access | Times Cited: 1
Accelerating innovation with software abstractions for scalable computational geophysics
Mathias Louboutin, Philipp Witte, Ali Siahkoohi, et al.
Second International Meeting for Applied Geoscience & Energy (2022), pp. 1482-1486
Open Access | Times Cited: 6
Mathias Louboutin, Philipp Witte, Ali Siahkoohi, et al.
Second International Meeting for Applied Geoscience & Energy (2022), pp. 1482-1486
Open Access | Times Cited: 6
Velocity continuation with Fourier neural operators for accelerated uncertainty quantification
Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Second International Meeting for Applied Geoscience & Energy (2022), pp. 1765-1769
Open Access | Times Cited: 5
Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Second International Meeting for Applied Geoscience & Energy (2022), pp. 1765-1769
Open Access | Times Cited: 5
Deep decomposition learning for reflectivity inversion
Kristian Torres, Mauricio D. Sacchi
Geophysical Prospecting (2023) Vol. 71, Iss. 6, pp. 963-982
Open Access | Times Cited: 2
Kristian Torres, Mauricio D. Sacchi
Geophysical Prospecting (2023) Vol. 71, Iss. 6, pp. 963-982
Open Access | Times Cited: 2
Geostatistical Inversion for Subsurface Characterization Using Stein Variational Gradient Descent with Autoencoder Neural Network: An Application to Geologic Carbon Sequestration
Mingliang Liu, Darío Graña, Tapan Mukerji
Authorea (Authorea) (2024)
Open Access
Mingliang Liu, Darío Graña, Tapan Mukerji
Authorea (Authorea) (2024)
Open Access
Physically Structured Variational Inference for Bayesian Full Waveform Inversion
Xuebin Zhao, Andrew Curtis
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 11
Open Access
Xuebin Zhao, Andrew Curtis
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 11
Open Access
Deep Variational Inverse Scattering : (Invited Paper)
AmirEhsan Khorashadizadeh, Ali Aghababaei, Tin Vlašić, et al.
2022 16th European Conference on Antennas and Propagation (EuCAP) (2023), pp. 1-5
Closed Access | Times Cited: 1
AmirEhsan Khorashadizadeh, Ali Aghababaei, Tin Vlašić, et al.
2022 16th European Conference on Antennas and Propagation (EuCAP) (2023), pp. 1-5
Closed Access | Times Cited: 1
Self-Awakened Particle Swarm Optimization BN Structure Learning Algorithm Based on Search Space Constraint
Kun Liu, Peiran Li, Yu Zhang, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 3, pp. 3257-3274
Open Access | Times Cited: 1
Kun Liu, Peiran Li, Yu Zhang, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 3, pp. 3257-3274
Open Access | Times Cited: 1
Subsurface uncertainty quantification with deep geologic priors: A variational Bayesian framework
Ashutosh Tewari, Brent Wheelock, Jacob Clark, et al.
Second International Meeting for Applied Geoscience & Energy (2022), pp. 1745-1749
Closed Access | Times Cited: 2
Ashutosh Tewari, Brent Wheelock, Jacob Clark, et al.
Second International Meeting for Applied Geoscience & Energy (2022), pp. 1745-1749
Closed Access | Times Cited: 2
Learned multiphysics inversion with differentiable programming and machine learning
Mathias Louboutin, Ziyi Yin, Rafael Orozco, et al.
arXiv (Cornell University) (2023)
Open Access
Mathias Louboutin, Ziyi Yin, Rafael Orozco, et al.
arXiv (Cornell University) (2023)
Open Access
Seismic 3D full-horizon tracking based on a knowledge graph to represent the stratigraphic sequence relationship
Xin He, Cheng Zhou, Yusheng Zhang, et al.
Geophysics (2023) Vol. 89, Iss. 2, pp. N15-N30
Closed Access
Xin He, Cheng Zhou, Yusheng Zhang, et al.
Geophysics (2023) Vol. 89, Iss. 2, pp. N15-N30
Closed Access
Interrogating Subsurface Structures using Probabilistic Tomography: an example assessing the volume of Irish Sea basins
Xuebin Zhao, Andrew Curtis, Xin Zhang
(2022)
Open Access
Xuebin Zhao, Andrew Curtis, Xin Zhang
(2022)
Open Access
Accelerating innovation with software abstractions for scalable computational geophysics
Mathias Louboutin, Philipp Witte, Ali Siahkoohi, et al.
arXiv (Cornell University) (2022)
Open Access
Mathias Louboutin, Philipp Witte, Ali Siahkoohi, et al.
arXiv (Cornell University) (2022)
Open Access