Previously, I worked with Florian Shkurti at the University of Toronto on learning based approaches into task and motion planning for robotics. As an undergraduate student at BITS Pilani Goa, I was affiliated with APPCAIR where I worked with Prof. Ashwin Srinivasan and Dr Gautam Shroff on neuro-symbolic approaches to visual reasoning.
News
Jan 2024 | Both CodePlan and CORE are accepted at FSE 2024!Dec 2023 | I'll be attending NeurIPS to present CodePlan as a poster at the FMDM Workshop.
Dec 2023 | I am applying to grad school this cycle.
Publications
CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, , Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
FMDM, NeurIPS 2023 | Workshop on Foundation Models for Decision Making
Accepted at FSE 2024 | ACM International Conference on the Foundations of Software Engineering
preprint
Frustrated with Code Quality Issues? LLMs can Help!
Nalin Wadhwa, Jui Pradhan, , Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
Accepted at FSE 2024 | ACM International Conference on the Foundations of Software Engineering
preprint
Policy-Guided Lazy Search with Feedback for Task and Motion Planning
Mohamed Khodeir, , Ruthrash Hari, Florian Shkurti
Best Paper | Long Horizon Planning Workshop at CoRL 2022
ICRA 2023 | IEEE International Conference on Robotics and Automation
abstract
paper
website
Neural Analogical Reasoning
, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig
NeSy 2022 | International Workshop on Neural-Symbolic Learning and Reasoning
paper
Solving Visual Analogies Using Neural Algorithmic Reasoning
, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
Oral Presentation Finalist | Student Abstract & Poster at AAAI 2022
paper