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High-resolution synthetic residential energy use profiles for the United States


Oct 14, 2022
Swapna Thorve, Young Yun Baek, Samarth Swarup, Henning Mortveit, Achla Marathe, Anil Vullikanti, Madhav Marathe

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* The paper has been conditionally accepted for publication in Nature Scientific Data 

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A Scalable Data-Driven Technique for Joint Evacuation Routing and Scheduling Problems


Sep 12, 2022
Kazi Ashik Islam, Da Qi Chen, Madhav Marathe, Henning Mortveit, Samarth Swarup, Anil Vullikanti

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Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response


Feb 09, 2022
George Li, Ann Li, Madhav Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

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* 14 pages, 4 figures, to appear at AAMAS 2022 

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Wisdom of the Ensemble: Improving Consistency of Deep Learning Models


Nov 13, 2020
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe

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Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting


Oct 27, 2020
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe

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Models for COVID-19 Pandemic: A Comparative Analysis


Sep 21, 2020
Aniruddha Adiga, Devdatt Dubhashi, Bryan Lewis, Madhav Marathe, Srinivasan Venkatramanan, Anil Vullikanti

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TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information


Jan 28, 2020
Lijing Wang, Jiangzhuo Chen, Madhav Marathe

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* This article has been accepted by ACM TSAS journal 

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