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)

Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine Learning. - Laura Crocetti; Matthias Schartner; Benedikt Soja (Remote. Sens., 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)

Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting. - Randa Natras; Benedikt Soja; Michael Schmidt (Remote. Sens., 2022)

Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach. - Pia Ruttner; Roland Hohensinn; Stefano D'Aronco; Jan Dirk Wegner; Benedikt Soja (Remote. Sens., 2022)

Machine Learning-Based Exploitation of Crowdsourced GNSS Data for Atmospheric Studies. - Benedikt Soja; Grzegorz Klopotek; Yuanxin Pan; Laura Crocetti; Shuyin Mao; Mudathir Awadaljeed; Markus Rothacher; Linda See; Tobias Sturn; Rudi Weinacker; Ian McCallum; Vicente Navarro (IGARSS, 2023)

Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project. - Linda See; Benedikt Soja; Grzegorz Klopotek; Tobias Sturn; Rudi Weinacker; Santosh Karanam; Ivelina Georgieva; Yuanxin Pan; Laura Crocetti; Markus Rothacher; Vicente Navarro; Steffen Fritz; et al. (Int. J. Digit. Earth, 2023)

Analyzing the Ionospheric Irregularities Caused by the September 2017 Geomagnetic Storm Using Ground-Based GNSS, Swarm, and FORMOSAT-3/COSMIC Data near the Equatorial Ionization Anomaly in East Africa. - Alireza Atabati; Iraj Jazireeyan; Mahdi Alizadeh; Mahmoud Pirooznia; Jakob Flury; Harald Schuh; Benedikt Soja (Remote. Sens., 2023)

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)

Modelling the Troposphere with Global Navigation Satellite Systems, Meteorological Data and Machine Learning. - Laura Crocetti; Matthias Schartner; Konrad Schindler; Rochelle Schneider; Benedikt Soja (IGARSS, 2024)

Global Ionospheric Modeling Using Multi-GNSS: A Machine Learning Approach. - Shuyin Mao; Grzegorz Klopotek; Yuanxin Pan; Benedikt Soja (IGARSS, 2024)

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)

Forecasting of Tropospheric Delay Using AI Foundation Models in Support of Microwave Remote Sensing. - Junsheng Ding; Xiaolong Mi; Wu Chen 001; Junping Chen; Jungang Wang; Yize Zhang; Joseph L. Awange; Benedikt Soja; Lei Bai 001; Yuanfan Deng; Wenjie Tang (IEEE Trans. Geosci. Remote. Sens., 2024)

A New Deep-Learning-Assisted Global Water Vapor Stratification Model for GNSS Meteorology: Validations and Applications. - Wenyuan Zhang 003; Junyang Gou; Gregor Moeller; Shubi Zhang; Yu Gao; Nandi Wang; Benedikt Soja (IEEE Trans. Geosci. Remote. Sens., 2024)

Uncertainties of Interpolating Satellite-Specific Slant Ionospheric Delays and Impacts on PPP-RTK. - Sijie Lyu; Yan Xiang; Benedikt Soja; Ningbo Wang; Wenxian Yu; Trieu-Kien Truong (IEEE Trans. Aerosp. Electron. Syst., 2024)

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

HDTM: A Novel Model Providing Hydrostatic Delay and Weighted Mean Temperature for Real-Time GNSS Precipitable Water Vapor Retrieval. - Luohong Li; Hongxing Zhang; Yunbin Yuan; Matthias Aichinger-Rosenberger; Benedikt Soja (IEEE Trans. Geosci. Remote. Sens., 2025)

Assimilating Ground-Based and High-Dynamic Airborne GNSS Zenith Total Delays Into Numerical Weather Predictions. - Zhenyi Zhang; Mengjie Liu; Weixing Zhang; Yidong Lou; Benedikt Soja (IEEE Trans. Geosci. Remote. Sens., 2025)

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes. - Fanny Lehmann; Firat Ozdemir; Benedikt Soja; Torsten Hoefler; Siddhartha Mishra; Sebastian Schemm (CoRR, 2025)