Publications (5)
Low Magnetic Field Regime of a Gate-Defined Constriction in High-Mobility Graphene
Louis Veyrat, Anna Jordan, Katrin Zimmermann +5
We report on the evolution of the coherent electronic transport through a gate-defined constriction in a high-mobility graphene device from ballistic transport to quantum Hall regi…
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Christian Eichenberger, Moritz Neun, Henry Martin +34
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggrega…
Temporal Autoencoder with U-Net Style Skip-Connections for Frame Prediction
Jay Santokhi, Pankaj Daga, Joned Sarwar +2
Finding sustainable and novel solutions to predict city-wide mobility behaviour is an ever-growing problem given increased urban complexity and growing populations. This paper seek…
Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction
Jay Santokhi, Dylan Hillier, Yiming Yang +3
The landscape of city-wide mobility behaviour has altered significantly over the past 18 months. The ability to make accurate and reliable predictions on such behaviour has likewis…
Tunable transmission of quantum Hall edge channels with full degeneracy lifting in split-gated graphene devices
Katrin Zimmermann, Anna Jordan, Frédéric Gay +6
Charge carriers in the quantum Hall regime propagate via one-dimensional conducting channels that form along the edges of a two-dimensional electron gas. Controlling their transmis…