12 citations as recorded by crossref.

1. A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations D. Aboelyazeed et al. 10.5194/bg-20-2671-2023
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3. Multi-Branch Deep Neural Network for Bed Topography of Antarctica Super-Resolution: Reasonable Integration of Multiple Remote Sensing Data Y. Cai et al. 10.3390/rs15051359
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5. Unexplored Antarctic meteorite collection sites revealed through machine learning V. Tollenaar et al. 10.1126/sciadv.abj8138
6. UAVs for Science in Antarctica P. Pina & G. Vieira 10.3390/rs14071610
7. Paths forward in radioglaciology D. Schroeder 10.1017/aog.2023.3
8. Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets F. Falcini et al. 10.1017/jog.2021.122
9. Deep learning speeds up ice flow modelling by several orders of magnitude G. Jouvet et al. 10.1017/jog.2021.120
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11. A Pattern Classification Distribution Method for Geostatistical Modeling Evaluation and Uncertainty Quantification C. Zuo et al. 10.3390/rs15112708
12. Generative Elevation Inpainting: An Efficient Completion Method for Generating High-Resolution Antarctic Bed Topography Y. Cai et al. 10.1109/TGRS.2023.3303231