Publications

You can find my publications on my Google Scholar profile.

Accelerating Time Series Foundation Models with Speculative Decoding [link to paper]
Pranav Subbaraman*, Fang Sun*, Yue Yao, Huacong Tang, Xiao Luo, Yizhou Sun
Accepted at AAAI’26 AI For Time Series Workshop; Under review at 2026 ACM Web Conference

Accelerating Inference of Masked Image Generators via Reinforcement Learning [link to paper]
Pranav Subbaraman*, Shufan Li*, Siyan Zhao, Aditya Grover

UAV Path Planning for Wildfires: Sustainably Fighting Wildfires with Automated Path Planning for UAVs
Pranav Subbaraman*, Zarin Hasan*, Surbhi Kumar*, Vian Patel*, Nicholas Poplavskyy*, and Nathan Xue*
*Equal contribution; listed by alphabetical order in original paper
Published in NASA Technical Reports Server, September 2022

RevMax: Revenue-Maximizing Recommendation System Competition
Fang Sun, Paul Zhang, Pranav Subbaraman, and Yizhou Sun
Accepted at EAAI-26, Model AI Track

MobileWorldBench: Towards Semantic World Modeling For Mobile Agents
Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Pranav Subbaraman, … , Aditya Grover

VisCoder Bench: Do Coders Need Eyes?
Alexander Vilesov, Aditya Nagachandra, Yahvin Gali, Nathan Leobandung, Pranav Subbaraman, Yu-Wei Chang, Achuta Kadambi

HoloType: Lived Experience Based Communication Training for Nonspeaking Autistic People
Diwakar Krishnamurthy, Vikram Jaswal, Ahmadreza Nazari, Ali Shahidi, Pranav Subbaraman, and Mea Wang
2022 CHI Conference on Human Factors in Computing Systems (CHI EA '22)

V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning
Zongyu Lin, Zhikun Xu, Xiaohan Song, Yixin Wan, Xingcheng Yao, Tsung-Han Lin, Selina Song, Pranav Subbaraman, Ben Zhou, Kai-Wei Chang, and Yizhou Sun
Accepted at ACL 2025