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Martin Raubal

Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis

Oct 18, 2022
Yanan Xin, Natasa Tagasovska, Fernando Perez-Cruz, Martin Raubal

* accepted by ACM SIGSPATIAL 2022 Conference

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How do you go where? Improving next location prediction by learning travel mode information using transformers

Oct 08, 2022
Ye Hong, Henry Martin, Martin Raubal

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* 10 pages, camera ready SIGSPATIAL '22

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Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes

Apr 01, 2022
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David Kreil, Sepp Hochreiter

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* Pre-print under review, submitted to Proceedings of Machine Learning Research

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Traffic Forecasting on Traffic Moving Snippets

Oct 27, 2021
Nina Wiedemann, Martin Raubal

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Applications of deep learning in traffic congestion alleviation: A survey

Feb 19, 2021
Nishant Kumar, Martin Raubal

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* 20 pages, 7 figures

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