53 citations · 58 across the 2 of their papers we have counts for
2 papers
cs.LG2018★ 53 cited
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting
Philipp Haehnel, Jakub Marecek, Julien Monteil +1
Across numerous applications, forecasting relies on numerical solvers for partial differential equations (PDEs). Although the use of deep-learning techniques has been proposed, act…
gr-qc2009★ 5 cited
On force-field models of the spacecraft flyby anomaly
Wolfgang Hasse, Emrah Birsin, Philipp Haehnel
Recently, Anderson et al. published an empirical prediction formula for the so far unexplained parts of the velocity changes of spacecrafts during Earth flybys. In the framework of…