Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley. DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. In Winter Simulation Conference, WSC 2021, Phoenix, AZ, USA, December 12-15, 2021. pages 1-12, IEEE, 2021. [doi]
@inproceedings{ChopraRSKGRPK21, title = {DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions}, author = {Ayush Chopra and Ramesh Raskar and Jayakumar Subramanian and Balaji Krishnamurthy and Esma Senturk Gel and Santiago Romero-Brufau and Kalyan S. Pasupathy and Thomas C. Kingsley}, year = {2021}, doi = {10.1109/WSC52266.2021.9715507}, url = {https://doi.org/10.1109/WSC52266.2021.9715507}, researchr = {https://researchr.org/publication/ChopraRSKGRPK21}, cites = {0}, citedby = {0}, pages = {1-12}, booktitle = { Winter Simulation Conference, WSC 2021, Phoenix, AZ, USA, December 12-15, 2021}, publisher = {IEEE}, isbn = {978-1-6654-3311-2}, }