DyVEDeep: Dynamic Variable Effort Deep Neural Networks. - Sanjay Ganapathy; Swagath Venkataramani; Balaraman Ravindran; Anand Raghunathan (CoRR, 2017)

DyVEDeep: Dynamic Variable Effort Deep Neural Networks. - Sanjay Ganapathy; Swagath Venkataramani; Giridhur Sriraman; Balaraman Ravindran; Anand Raghunathan (ACM Trans. Embed. Comput. Syst., 2020)

An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models. - Neha Arora; Yi-Fan Chen; Sanjay Ganapathy; Yechen Li; Ziheng Lin; Carolina Osorio; Andrew Tomkins; Iveel Tsogsuren (CoRR, 2021)

Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City. - Neha Arora; Theophile Cabannes; Sanjay Ganapathy; Yechen Li; Preston McAfee; Marc Nunkesser; Carolina Osorio; Andrew Tomkins; Iveel Tsogsuren (CoRR, 2021)

An adversarial variational inference approach for travel demand calibration of urban traffic simulators. - Martin Mladenov; Sanjay Ganapathy Subramaniam; Chih-Wei Hsu; Neha Arora; Andrew Tomkins; Craig Boutilier; Carolina Osorio (SIGSPATIAL/GIS, 2022)