Sellamanickam, Sundararajan

9 publications

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

AAAI 2023 Simulating Network Paths with Recurrent Buffering Units Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat N. Padmanabhan

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

ICLR 2022 IGLU: Efficient GCN Training via Lazy Updates S Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam

JMLR 2018 An Efficient Distributed Learning Algorithm Based on Effective Local Functional Approximations Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi, Sundararajan Sellamanickam, Leon Bottou

AISTATS 2012 Deterministic Annealing for Semi-Supervised Structured Output Learning Paramveer Dhillon, Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam

CVPR 2012 Learning Hierarchical Similarity Metrics Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair

ICCV 2011 A Joint Learning Framework for Attribute Models and Object Descriptions Dhruv Kumar Mahajan, Sundararajan Sellamanickam, Vinod Nair