research
∙
11/20/2019
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
While deep learning has shown tremendous success in a wide range of doma...
share
research
∙
07/22/2019
Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks
Accurately forecasting urban development and its environmental and clima...
research
∙
05/13/2019
Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems
Simulating complex physical systems often involves solving partial diffe...
research
∙
01/08/2018
Modeling urbanization patterns with generative adversarial networks
In this study we propose a new method to simulate hyper-realistic urban ...
research
∙
04/10/2017
