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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15104406 |
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| _version_ | 1866902238136369152 |
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| author | WU, YUPING |
| author_facet | WU, YUPING |
| contents | <p>This repo contains a PyTorch implementation with <a href="https://ausargeo.com/deepwave/">Deepwave</a> for the paper <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2025JH000621"><strong>How does Neural Network Reparametrization Improve Geophysical Inversion?</strong></a> which is submitted to the <em><strong>Journal of Geophysical Research: Machine Learning and Computation</strong></em>.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15104406 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | ADD-FWI WU, YUPING <p>This repo contains a PyTorch implementation with <a href="https://ausargeo.com/deepwave/">Deepwave</a> for the paper <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2025JH000621"><strong>How does Neural Network Reparametrization Improve Geophysical Inversion?</strong></a> which is submitted to the <em><strong>Journal of Geophysical Research: Machine Learning and Computation</strong></em>.</p> |
| title | ADD-FWI |
| url | https://doi.org/10.5281/zenodo.15104406 |