Capturing a target with range only measurement. - Gaurav Chaudhary; Arpita Sinha (ECC, 2013)

Design and simulation of nano-mechanical resonator for virus detection. - Gaurav Chaudhary; K. K. Singh; Anyaa Mittal; Neeru Sood (SAS, 2014)

Conditions for target tracking with range-only information. - Gaurav Chaudhary; Arpita Sinha; Twinkle Tripathy; Aseem Vivek Borkar (Robotics Auton. Syst., 2016)

CARAT CAKE: replacing paging via compiler/kernel cooperation. - Brian Suchy; Souradip Ghosh; Drew Kersnar; Siyuan Chai; Zhen Huang; Aaron Nelson; Michael Cuevas; Alex Bernat; Gaurav Chaudhary; Nikos Hardavellas; Simone Campanoni; Peter A. Dinda (ASPLOS, 2022)

CWD: A Machine Learning based Approach to Detect Unknown Cloud Workloads. - Mohammad Hossain; Derssie Mebratu; Niranjan Hasabnis; Jun Jin 002; Gaurav Chaudhary; Noah Shen (CoRR, 2022)

Active Perception System for Enhanced Visual Signal Recovery Using Deep Reinforcement Learning. - Gaurav Chaudhary; Laxmidhar Behera; Tushar Sandhan (ICASSP, 2023)

Monitoring Workload Performance in Noisy Neighborhoods Using Performance Monitoring Units. - Gaurav Chaudhary; Derssie Mebratu; Bryan Lewis 004; Rahul Khanna; Jun Jin 002; Mohammad Hossain (AIOps@ICSE, 2023)

Bin-Picking of Novel Objects Through Category-Agnostic-Segmentation: RGB Matters. - Prem Raj; Sachin Bhadang; Gaurav Chaudhary; Laxmidhar Behera; Tushar Sandhan (IRC, 2023)

Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder-Decoder neural network. - Gaurav Chaudhary; Hicham Johra; Laurent Georges; Bjørn Austbø (CoRR, 2023)

pymodconn: A python package for developing modular sequence-to-sequence control-oriented deep neural networks. - Gaurav Chaudhary; Hicham Johra; Laurent Georges; Bjørn Austbø (SoftwareX, 2023)

MOORL: A Framework for Integrating Offline-Online Reinforcement Learning. - Gaurav Chaudhary; Washim Uddin Mondal; Laxmidhar Behera (Trans. Mach. Learn. Res., 2025)

MOORL: A Framework for Integrating Offline-Online Reinforcement Learning. - Gaurav Chaudhary; Wassim Uddin Mondal; Laxmidhar Behera (CoRR, 2025)

From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning. - Gaurav Chaudhary; Laxmidhar Behera (CoRR, 2025)