Research graph
References from Deep learning-based 3D gravity inversion: a comparative analysis of CNN architectures for density estimation. Local targets link to admitted publications; unresolved targets remain external evidence.
Constraints in 3D gravity inversion
10.1046/j.1365-2478.2001.00254.x · 2001 · External reference
Three-dimensional gravity inversion based on attention feature fusion
10.3390/s24175697 · 2024 · External reference
3-D gravity data inversion based on enhanced dual U-Net framework
10.1109/tgrs.2023.3306980 · 2023 · External reference
Dropout as a Bayesian approximation: representing model uncertainty in deep learning
2016 · External reference
Deep residual learning for image recognition
10.1109/cvpr.2016.90 · 2016 · External reference
Deep learning 3D sparse inversion of gravity data
10.1029/2021jb022476 · 2021 · External reference
Inversion of large-scale gravity data with application of VNet
10.1093/gji/ggac190 · 2022 · External reference
Three-dimensional crustal structure in central Taiwan from gravity inversion with a parallel genetic algorithm
10.1190/1.1778235 · 2004 · External reference
Geology of the san nicolas deposit, Zacatecas, Mexico
2000 · External reference
PoViT-UQ: P-wave polarity and arrival time determination using vision transformer with uncertainty quantification
10.1093/gji/ggaf324 · 2025 · External reference
What uncertainties do we need in bayesian deep learning for computer vision?
2017 · External reference
3-D inversion of gravity data
10.1190/1.1444302 · 1998 · External reference
Self-supervised deep learning for 3D gravity inversion
10.1109/tgrs.2022.3225449 · 2022 · External reference
Unresolved reference
2017 · External reference
Fast forward approximation and multitask inversion of gravity anomaly based on UNet3+
10.1093/gji/ggad106 · 2023 · External reference
Deep learning 3D inversion of gravity data at volcanic seamounts: an example of conception bank volcano (Canary islands)
10.1007/s12145-026-02148-0 · 2026 · External reference
Three-dimensional gravity inversion using simulated annealing: constraints on the diapiric roots of allochthonous salt structures
10.1190/1.1487089 · 2001 · External reference
Risk versus uncertainty in deep learning: Bayes, bootstrap and the dangers of dropout
2016 · External reference
Gravity inversion and uncertainty assessment of basement relief via particle swarm optimization
10.1016/j.jappgeo.2015.03.008 · 2015 · External reference
Cost effectiveness of geophysical inversions in mineral exploration: applications at san nicolas
10.1190/1.1487264 · 2001 · External reference
Physics-guided deep-learning direct current-resistivity inversion with uncertainty quantification
10.1190/geo2024-0434.1 · 2025 · External reference
10.1029/2024jh000275 · 2024 · Admitted local publication
Unresolved reference
2015 · External reference
Physics-guided deep learning 3-D inversion based on magnetic data
10.1109/lgrs.2024.3485686 · 2025 · External reference
Hydrothermal alteration of volcanic rocks hosting the late Jurassic--Early Cretaceous san nicolás VMS deposit, southern Zacatecas, Mexico
2015 · External reference
Unresolved reference
2020 · External reference
Employing MS-UNets networks for multiscale 3-D gravity data inversion: a case study in the nordkapp basin, Barents Sea
10.1109/tgrs.2024.3362070 · 2024 · External reference
Improved gravity inversion method based on deep learning with physical constraint and its application to the airborne gravity data in east Antarctica
10.3390/rs15204933 · 2023 · External reference
Inversion of the gravity gradiometry data by ResUnet network: an application in nordkapp basin, Barents Sea
10.1109/tgrs.2023.3271606 · 2023 · External reference
Deep learning inversion of gravity data for detection of CO2 plumes in overlying aquifers
10.1016/j.jappgeo.2021.104507 · 2022 · External reference
Inversion of gravity anomalies based on U-Net network
10.3390/sym17040523 · 2025 · External reference
Three-dimensional gravity inversion based on 3D U-Net++
10.1007/s11770-021-0909-z · 2021 · External reference
Road extraction by deep residual U-Net
10.1109/lgrs.2018.2802944 · 2018 · External reference
Deep learning for 3-D inversion of gravity data
10.1109/tgrs.2021.3110606 · External reference
3D gravity inversion based on deep learning
10.1088/1755-1315/1087/1/012079 · External reference
UNet++: redesigning skip connections to exploit multiscale features in image segmentation
10.1109/tmi.2019.2959609 · 2020 · External reference
3-D gravity intelligent inversion by U-Net network with data augmentation
10.1109/tgrs.2023.3241310 · 2023 · External reference
