43 citations · 154 across the 32 of their papers we have counts for
5 papers · 1 filter
Taxi Demand-Supply Forecasting: Impact of Spatial Partitioning on the Performance of Neural Networks
Neema Davis, Gaurav Raina, Krishna Jagannathan
In this paper, we investigate the significance of choosing an appropriate tessellation strategy for a spatio-temporal taxi demand-supply modeling framework. Our study compares (i)…
Concentration bounds for empirical conditional value-at-risk: The unbounded case
Ravi Kumar Kolla, Prashanth L. A., Sanjay P. Bhat +1
In several real-world applications involving decision making under uncertainty, the traditional expected value objective may not be suitable, as it may be necessary to control loss…
Taxi demand forecasting: A HEDGE based tessellation strategy for improved accuracy
Neema Davis, Gaurav Raina, Krishna Jagannathan
A key problem in location-based modeling and forecasting lies in identifying suitable spatial and temporal resolutions. In particular, judicious spatial partitioning can play a sig…
Impact of delayed acceleration feedback on the classical car-following model
Gopal Krishna Kamath, Krishna Jagannathan, Gaurav Raina
Delayed feedback plays a vital role in determining the qualitative dynamical properties of a platoon of vehicles driving on a straight road. Motivated by the positive impact of Del…
Qubits through Queues: The Capacity of Channels with Waiting Time Dependent Errors
Avhishek Chatterjee, Krishna Jagannathan, Prabha Mandayam
We consider a setting where qubits are processed sequentially, and derive fundamental limits on the rate at which classical information can be transmitted using quantum states that…