18 citations · 68 across the 16 of their papers we have counts for
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cs.LG2019★ 18 cited
Augmenting correlation structures in spatial data using deep generative models
Konstantin Klemmer, Adriano Koshiyama, Sebastian Flennerhag
State-of-the-art deep learning methods have shown a remarkable capacity to model complex data domains, but struggle with geospatial data. In this paper, we introduce SpaceGAN, a no…
cs.AI2019
Demand Prediction for Electric Vehicle Sharing
Man Luo, Hongkai Wen, Yi Luo +3
Electric Vehicle (EV) sharing systems have recently experienced unprecedented growth across the globe. Many car sharing service providers as well as automobile manufacturers are en…