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Journal Articles
- 2020
[j1]Sanjay Ganapathy, Swagath Venkataramani
, Giridhur Sriraman, Balaraman Ravindran, Anand Raghunathan:
DyVEDeep: Dynamic Variable Effort Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 19(3): 16:1-16:24 (2020)
Conference and Workshop Papers
- 2022
- [c1]Martin Mladenov, Sanjay Ganapathy Subramaniam, Chih-Wei Hsu, Neha Arora, Andrew Tomkins, Craig Boutilier, Carolina Osorio:
An adversarial variational inference approach for travel demand calibration of urban traffic simulators. SIGSPATIAL/GIS 2022: 6:1-6:4
Informal and Other Publications
- 2021
- [i3]Neha Arora, Yi-Fan Chen, Sanjay Ganapathy, Yechen Li, Ziheng Lin, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren:
An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models. CoRR abs/2109.11392 (2021) - [i2]Neha Arora, Theophile Cabannes, Sanjay Ganapathy, Yechen Li, Preston McAfee, Marc Nunkesser, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren:
Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City. CoRR abs/2111.03426 (2021) - 2017
- [i1]Sanjay Ganapathy, Swagath Venkataramani, Balaraman Ravindran, Anand Raghunathan:
DyVEDeep: Dynamic Variable Effort Deep Neural Networks. CoRR abs/1704.01137 (2017)
Coauthor Index
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