Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?

Research article (Computers & Geosciences, 2019) · cited 68× · AI/ML
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Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?

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Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?. Retrieved May 24, 2026, from https://4ort.xyz/entity/gradient-based-deterministic-inversion-of-geophysical-data-with-generative-adversarial-networks-is-it-feasible
MLA “Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gradient-based-deterministic-inversion-of-geophysical-data-with-generative-adversarial-networks-is-it-feasible.
BibTeX @misc{4ortxyz_gradient-based-deterministic-inversion-of-geophysical-data-with-generative-adversarial-networks-is-it-feasible_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?}}, year = {2026}, url = {https://4ort.xyz/entity/gradient-based-deterministic-inversion-of-geophysical-data-with-generative-adversarial-networks-is-it-feasible}, note = {Accessed: 2026-05-24}}
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