Publications (12)
How do you go where? Improving next location prediction by learning travel mode information using transformers
Ye Hong, Henry Martin, Martin Raubal
Predicting the next visited location of an individual is a key problem in human mobility analysis, as it is required for the personalization and optimization of sustainable transpo…
Thermodynamic Stable Site for Interstitial alloy (N or O) in bcc-Refractory Metals using Density Functional Theory
Henry Martin, Peter Amoako-Yirenkyi, Eric Kwabena Kyeh Abavare
Plasticity in body centered cubic (bcc) refractory metals are largely due to the stress tensor induced either by solute or thermal activation. The mechanism of the solute atom(s) r…
Traffic4cast-Traffic Map Movie Forecasting -- Team MIE-Lab
Henry Martin, Ye Hong, Dominik Bucher +2
The goal of the IARAI competition traffic4cast was to predict the city-wide traffic status within a 15-minute time window, based on information from the previous hour. The traffic…
Do AI weather models miss extremes?
Marvin Vincent Gabler, Roberto Molinaro, Niall Siegenheim +5
First-generation AI weather models are often reported to underperform at extremes, mostly in reanalysis-based evaluations of deterministic regression systems. We verify eleven phys…
EPT-2 Technical Report
Roberto Molinaro, Niall Siegenheim, Niels Poulsen +12
We present EPT-2, the latest iteration in our Earth Physics Transformer (EPT) family of foundation AI models for Earth system forecasting. EPT-2 delivers substantial improvements o…
Bike network planning in limited urban space
Nina Wiedemann, Christian Nöbel, Lukas Ballo +2
The lack of cycling infrastructure in urban environments hinders the adoption of cycling as a viable mode for commuting, despite the evident benefits of (e-)bikes as sustainable, e…