Source-to-source adjoint Algorithmic Differentiation of an ice sheet model written in C. - Laurent Hascoët; Mathieu Morlighem (Optim. Methods Softw., 2018)

Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography. - Katherine Yi; Angelina Dewar; Tartela Tabassum; Jason Lu; Ray Chen; Homayra Alam; Omar Faruque; Sikan Li; Mathieu Morlighem; Jianwu Wang 001 (ICMLA, 2023)

TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet. - Atefeh Jebeli; Bayu Adhi Tama; Vandana P. Janeja; Nicholas Holschuh; Claire Jensen; Mathieu Morlighem; Joseph A. MacGregor; Mark A. Fahnestock (IGARSS, 2023)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)

DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets. - Bayu Adhi Tama; Mansa Krishna; Homayra Alam; Mostafa Cham; Omar Faruque; Gong Cheng; Jianwu Wang 001; Mathieu Morlighem; Vandana Pursnani Janeja (CoRR, 2025)