Arun Iyer

Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph

Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal

Empirical Methods in Natural Language Processing (EMNLP) | December 2023

Publication

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023

Publication Projet

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations

Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam

NeurIPS 2023 | October 2023

Publication

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) | August 2022

PDF Github

Landmarks and Regions: A Robust Approach to Data Extraction

Suresh Parthasarathy, Lincy Pattanaik, Anirudh Khatry, Arun Iyer, Arjun Radhakrishna, Sriram Rajamani, Mohammad Raza

Programming Language Design and Implementation (PLDI) | June 2022

Publication PDF

Jigsaw: Large Language Models meet Program Synthesis

Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma

International Conference on Software Engineering (ICSE) | May 2022

Publication Github Projet Projet

ProLinguist: Program Synthesis for Linguistics and NLP

Partho Sarthi, Monojit Choudhury, Arun Iyer, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani

International Joint Conference on Artificial Intelligence Workshop on Neuro-Symbolic Natural Language Inference (NSNLI-IJCAI) | August 2021

Publication Projet Projet

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

Knowledge Discovery and Data Mining Workshop on Deep Learning on Graphs: Method and Applications (DLG-KDD) | June 2021

Publication

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks

Vijay Lingam, Arun Iyer, Rahul Ragesh

International Conference on Learning Representations Workshop on Geometrical and Topological Representation Learning (GTRL-ICLR) | May 2021

PDF Publication

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam

Web Search and Data Mining (WSDM) | March 2021

DOI Publication

Synthesis and machine learning for heterogeneous extraction

Arun Iyer, Manohar Jonnalagedda, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani

Programming Language Design and Implementation (PLDI) | June 2019

PDF DOI Project Project

Privacy-preserving Class Ratio Estimation

Arun Iyer, Saketha Nath, Sunita Sarawagi

Knowledge Discovery and Data Mining (KDD) | August 2016

Publication Publication

Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection

Arun Iyer, Saketha Nath, Sunita Sarawagi

International Conference on Machine Learning (ICML) | June 2014

Publication

Active Evaluation of Classifiers on Large Datasets

Namit Katariya, Arun Iyer, Sunita Sarawagi

International Conference on Data Mining (ICDM) | December 2012

Publication Publication

Collective extraction from heterogeneous web lists

Ashwin Machanavajjhala, Arun Iyer, Philip Bohannon , Srujana Merugu

Web Search and Data Mining (WSDM) | February 2011

Publication PDF

Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph

Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal

Empirical Methods in Natural Language Processing (EMNLP) | December 2023

Publication

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023

Publication Projet

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations

Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam

NeurIPS 2023 | October 2023

Publication

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) | August 2022

PDF Github

Landmarks and Regions: A Robust Approach to Data Extraction

Suresh Parthasarathy, Lincy Pattanaik, Anirudh Khatry, Arun Iyer, Arjun Radhakrishna, Sriram Rajamani, Mohammad Raza

Programming Language Design and Implementation (PLDI) | June 2022

Publication PDF

Jigsaw: Large Language Models meet Program Synthesis

Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma

International Conference on Software Engineering (ICSE) | May 2022

Publication Github Projet Projet

ProLinguist: Program Synthesis for Linguistics and NLP

Partho Sarthi, Monojit Choudhury, Arun Iyer, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani

International Joint Conference on Artificial Intelligence Workshop on Neuro-Symbolic Natural Language Inference (NSNLI-IJCAI) | August 2021

Publication Projet Projet

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

Knowledge Discovery and Data Mining Workshop on Deep Learning on Graphs: Method and Applications (DLG-KDD) | June 2021

Publication

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks

Vijay Lingam, Arun Iyer, Rahul Ragesh

International Conference on Learning Representations Workshop on Geometrical and Topological Representation Learning (GTRL-ICLR) | May 2021

PDF Publication

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam

Web Search and Data Mining (WSDM) | March 2021

DOI Publication

Synthesis and machine learning for heterogeneous extraction

Arun Iyer, Manohar Jonnalagedda, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani

Programming Language Design and Implementation (PLDI) | June 2019

PDF DOI Project Project

Privacy-preserving Class Ratio Estimation

Arun Iyer, Saketha Nath, Sunita Sarawagi

Knowledge Discovery and Data Mining (KDD) | August 2016

Publication Publication

Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection

Arun Iyer, Saketha Nath, Sunita Sarawagi

International Conference on Machine Learning (ICML) | June 2014

Publication

Active Evaluation of Classifiers on Large Datasets

Namit Katariya, Arun Iyer, Sunita Sarawagi

International Conference on Data Mining (ICDM) | December 2012

Publication Publication

Collective extraction from heterogeneous web lists

Ashwin Machanavajjhala, Arun Iyer, Philip Bohannon , Srujana Merugu

Web Search and Data Mining (WSDM) | February 2011

Publication PDF

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023

Publication Projet

Jigsaw: Large Language Models meet Program Synthesis

Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma

International Conference on Software Engineering (ICSE) | May 2022

Publication Github Projet Projet

Synthesis and machine learning for heterogeneous extraction

Arun Iyer, Manohar Jonnalagedda, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani

Programming Language Design and Implementation (PLDI) | June 2019

PDF DOI Project Project

Privacy-preserving Class Ratio Estimation

Arun Iyer, Saketha Nath, Sunita Sarawagi

Knowledge Discovery and Data Mining (KDD) | August 2016

Publication Publication

Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph

Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal

Empirical Methods in Natural Language Processing (EMNLP) | December 2023

Publication

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet

Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023

Publication Projet

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations

Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam

NeurIPS 2023 | October 2023

Publication

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) | August 2022

PDF Github

Landmarks and Regions: A Robust Approach to Data Extraction

Suresh Parthasarathy, Lincy Pattanaik, Anirudh Khatry, Arun Iyer, Arjun Radhakrishna, Sriram Rajamani, Mohammad Raza

Programming Language Design and Implementation (PLDI) | June 2022

Publication PDF

Jigsaw: Large Language Models meet Program Synthesis

Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma

International Conference on Software Engineering (ICSE) | May 2022

Publication Github Projet Projet

ProLinguist: Program Synthesis for Linguistics and NLP

Partho Sarthi, Monojit Choudhury, Arun Iyer, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani

International Joint Conference on Artificial Intelligence Workshop on Neuro-Symbolic Natural Language Inference (NSNLI-IJCAI) | August 2021

Publication Projet Projet

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

Knowledge Discovery and Data Mining Workshop on Deep Learning on Graphs: Method and Applications (DLG-KDD) | June 2021

Publication

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks

Vijay Lingam, Arun Iyer, Rahul Ragesh

International Conference on Learning Representations Workshop on Geometrical and Topological Representation Learning (GTRL-ICLR) | May 2021

PDF Publication

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam

Web Search and Data Mining (WSDM) | March 2021

DOI Publication

Synthesis and machine learning for heterogeneous extraction

Arun Iyer, Manohar Jonnalagedda, Suresh Parthasarathy, Arjun Radhakrishna, Sriram Rajamani

Programming Language Design and Implementation (PLDI) | June 2019

PDF DOI Project Project

Privacy-preserving Class Ratio Estimation

Arun Iyer, Saketha Nath, Sunita Sarawagi

Knowledge Discovery and Data Mining (KDD) | August 2016

Publication Publication

Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection

Arun Iyer, Saketha Nath, Sunita Sarawagi

International Conference on Machine Learning (ICML) | June 2014

Publication

Active Evaluation of Classifiers on Large Datasets

Namit Katariya, Arun Iyer, Sunita Sarawagi

International Conference on Data Mining (ICDM) | December 2012

Publication Publication

Collective extraction from heterogeneous web lists

Ashwin Machanavajjhala, Arun Iyer, Philip Bohannon , Srujana Merugu

Web Search and Data Mining (WSDM) | February 2011

Publication PDF