Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation

Cristiano Cervellera, Danilo Macciò, Francesco Rebora. Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation. In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021. pages 1-8, IEEE, 2021. [doi]

@inproceedings{CervelleraMR21,
  title = {Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation},
  author = {Cristiano Cervellera and Danilo Macciò and Francesco Rebora},
  year = {2021},
  doi = {10.1109/IJCNN52387.2021.9533357},
  url = {https://doi.org/10.1109/IJCNN52387.2021.9533357},
  researchr = {https://researchr.org/publication/CervelleraMR21},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3900-8},
}