Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps. - Thilina Rathnayake; Maheshakya Wijewardena; Thimal Kempitiya; Kevin Rathnasekara; Thushan Ganegedara; Amal Shehan Perera; Damminda Alahakoon (IDA, 2015)

Heterogeneous data fusion with multiple kernel growing self organizing maps. - Maheshakya Wijewardena; Thimal Kempitiya; Thilina Rathnayake; Kevin Rathnasekara; Thushan Ganegedara; Amal Shehan Perera; Damminda Alahakoon (SCAI, 2015)

Distributed Clustering via LSH Based Data Partitioning. - Aditya Bhaskara; Maheshakya Wijewardena (ICML, 2018)

On Distributed Averaging for Stochastic k-PCA. - Aditya Bhaskara; Maheshakya Wijewardena (NeurIPS, 2019)

A plug-n-play game theoretic framework for defending against radio window attacks. - Pruthuvi Maheshakya Wijewardena; Aditya Bhaskara; Sneha Kumar Kasera; Syed Ayaz Mahmud; Neal Patwari (WISEC, 2020)

Principal Component Regression with Semirandom Observations via Matrix Completion. - Aditya Bhaskara; Aravinda Kanchana Ruwanpathirana; Maheshakya Wijewardena (AISTATS, 2021)

Additive Error Guarantees for Weighted Low Rank Approximation. - Aditya Bhaskara; Aravinda Kanchana Ruwanpathirana; Maheshakya Wijewardena (ICML, 2021)

Simple Algorithms with Provable Guarantees for Large Scale Data Analysis. - Maheshakya Wijewardena (2021)