A Pluggable Autoscaling Service for Open Cloud PaaS Systems. - Chris Bunch; Vaibhav Arora; Navraj Chohan; Chandra Krintz; Shashank Hegde; Ankit Srivastava (UCC, 2012)

Approximate compression: enhancing compressibility through data approximation. - Harini Suresh; Shashank Hegde; John Sartori (ESTIMedia, 2017)

Risk aware portfolio construction using deep deterministic policy gradients. - Shashank Hegde; Vishal Kumar; Atul Singh (SSCI, 2018)

Constrained Conservative State Symbolic Co-analysis for Ultra-low-power Embedded Systems. - Shashank Hegde; Subhash Sethumurugan; Hari Cherupalli; Henry Duwe; John Sartori (ASP-DAC, 2021)

Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. - Shashank Hegde; Anssi Kanervisto; Aleksei Petrenko (CoG, 2021)

A scalable symbolic simulation tool for low power embedded systems. - Subhash Sethumurugan; Shashank Hegde; Hari Cherupalli; John Sartori (DAC, 2022)

Efficiently Learning Small Policies for Locomotion and Manipulation. - Shashank Hegde; Gaurav S. Sukhatme (ICRA, 2023)

Generating Behaviorally Diverse Policies with Latent Diffusion Models. - Shashank Hegde; Sumeet Batra; K. R. Zentner; Gaurav S. Sukhatme (NeurIPS, 2023)

A Mobile-First Disconnected Data Distribution Network. - Shashank Hegde; Deepak Munagala; Aditya Singhania; Benjamin Reed (TrustCom, 2023)

Retrofittable Automatic Shifter of Rear-Derailleur with Mode-Based Transmission and IoT. - Akshar K. R; Shashank Hegde (ICCE, 2024)

HyperPPO: A scalable method for finding small policies for robotic control. - Shashank Hegde; Zhehui Huang; Gaurav S. Sukhatme (ICRA, 2024)

Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models. - Alexander Popov; Alperen Degirmenci; David Wehr; Shashank Hegde; Ryan Oldja; Alexey Kamenev; Bertrand Douillard; David Nistér; Urs Muller; Ruchi Bhargava; Stan Birchfield; Nikolai Smolyanskiy (CoRR, 2024)

Latent Weight Diffusion: Generating Policies from Trajectories. - Shashank Hegde; Gautam Salhotra; Gaurav S. Sukhatme (CoRR, 2024)