Modified Deep Transformers for GNSS Time Series Prediction. - Mostafa Kiani Shahvandi; Benedikt Soja (IGARSS, 2021)

Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series. - Mostafa Kiani Shahvandi; Benedikt Soja (LOD, 2021)

A new optimal image smoothing method based on generalized discrete iterated Laplacian minimization and its application in the analysis of earth's surface using satellite remote sensing imagery. - Mostafa Kiani Shahvandi (Earth Sci. Informatics, 2021)

Data Driven Approaches for the Prediction of Earth's Effective Angular Momentum Functions. - Mostafa Kiani Shahvandi; Junyang Gou; Matthias Schartner; Benedikt Soja (IGARSS, 2022)

Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches. - Junyang Gou; Christine Rösch; Endrit Shehaj; Kangkang Chen; Mostafa Kiani Shahvandi; Benedikt Soja; Markus Rothacher (Remote. Sens., 2023)

Uncertainties of Satellite-based Essential Climate Variables from Deep Learning. - Junyang Gou; Arnt-Børre Salberg; Mostafa Kiani Shahvandi; Mohammad J. Tourian; Ulrich Meyer 005; Eva Boergens; Anders U. Waldeland; Isabella Velicogna; Fredrik Dahl; Adrian Jäggi; Konrad Schindler; Benedikt Soja (CoRR, 2024)

Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids. - Mostafa Kiani Shahvandi; Siddhartha Mishra; Benedikt Soja (Comput. Geosci., 2025)