Iyer, Arun

6 publications

NeurIPSW 2023 CodePlan: Repository-Level Coding Using LLMs and Planning Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, D C Vageesh, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

NeurIPS 2023 FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations Chanakya Ekbote, Ajinkya Deshpande, Arun Iyer, Sundararajan Sellamanickam, Ramakrishna Bairi

ECML-PKDD 2022 A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

ICLRW 2022 A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam, Chanakya Ajit Ekbote, Manan Sharma, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

ICLRW 2021 GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks Vijay Lingam, Arun Iyer, Rahul Ragesh

ICML 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection Arun Iyer, Saketha Nath, Sunita Sarawagi