Scholar
Rishab Balasubramanian
Google Scholar ID: fiGcBQ4AAAAJ
Virginia Tech
Citations & Impact
Citations
32
H-index
4
i10-index
0
Publications
10
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 1. Paper 'Efficient Model Development through Fine-tuning Transfer' accepted to EMNLP 2024; 2. Paper 'Adversarial Attacks on Combinatorial Multi-Armed Bandits' accepted to ICML 2024; 3. Paper 'Adversarial Attacks on Online Learning to Rank with Stochastic Click Models' accepted to TMLR; 4. Paper 'Risk Averse Submodular Optimization for the Multi-Objective Travelling Salesman Problem' accepted to IROS 2021; 5. Paper 'A Cooperative Framework for Autonomous Landings of Quadrotors using Vision on a Moving UGV' accepted to AIAA SciTech 2021.
Research Experience
- 1. PhD student at Virginia Tech working on deep learning related research; 2. Worked with Huazheng Wang on projects involving adversarial attacks.
Education
- PhD: Virginia Tech, Advisor: Tu Vu; B.Tech: National Institute of Technology Tiruchirapalli (NIT-Trichy), India, where he was part of RMI, the robotics club.
Background
- Research interests: Deep learning, language modeling, efficiency, and alignment. Previously worked with Huazheng Wang on adversarial attacks on bandit algorithms and the impact of ordering in recommendation systems.
Miscellany
- Other interests include: involvement in multiple autonomous robot control projects such as 3D reconstruction from endoscopic images, contrastive learning for OOD in object detection, and autonomous mapping and safe footfall planning for hexapods.
Co-authors