Aviral Shrivastava

collaborators

2 papers

cs.RO2022

Accurate Cooperative Sensor Fusion by Parameterized Covariance Generation for Sensing and Localization Pipelines in CAVs

Edward Andert, Aviral Shrivastava

A major challenge in cooperative sensing is to weight the measurements taken from the various sources to get an accurate result. Ideally, the weights should be inversely proportion…

cs.LG2018

Optimizing the Union of Intersections LASSO ( $U o I_{L A S S O}$ ) and Vector Autoregressive ( $U o I_{V A R}$ ) Algorithms for Improved Statistical Estimation at Scale

Mahesh Balasubramanian, Trevor Ruiz, Brandon Cook +4

The analysis of scientific data of increasing size and complexity requires statistical machine learning methods that are both interpretable and predictive. Union of Intersections (…

Accurate Cooperative Sensor Fusion by Parameterized Covariance Generation for Sensing and Localization Pipelines in CAVs

Optimizing the Union of Intersections LASSO (UoILASSO​) and Vector Autoregressive (UoIVAR​) Algorithms for Improved Statistical Estimation at Scale

Optimizing the Union of Intersections LASSO ( $U o I_{L A S S O}$ ) and Vector Autoregressive ( $U o I_{V A R}$ ) Algorithms for Improved Statistical Estimation at Scale