TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification

Mo et al. "TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26409-2_20

[Mo et al. "TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/mo2022ecmlpkdd-trafficflowgan/) doi:10.1007/978-3-031-26409-2_20

@inproceedings{mo2022ecmlpkdd-trafficflowgan,
  title     = {{TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification}},
  author    = {Mo, Zhaobin and Fu, Yongjie and Xu, Daran and Di, Xuan},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {323-339},
  doi       = {10.1007/978-3-031-26409-2_20},
  url       = {https://mlanthology.org/ecmlpkdd/2022/mo2022ecmlpkdd-trafficflowgan/}
}