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ExpertNet: A Symbiosis of Classification and Clustering


Jan 17, 2022
Shivin Srivastava, Kenji Kawaguchi, Vaibhav Rajan

* 16 pages, 3 figures 

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RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning


Dec 22, 2021
Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin

* Accepted by AAAI-2022 

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Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization


Sep 27, 2021
Ragunathan Mariappan, Vaibhav Rajan


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Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front


Aug 02, 2021
Debabrata Mahapatra, Vaibhav Rajan


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CAC: A Clustering Based Framework for Classification


Feb 23, 2021
Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan


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Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks


Feb 12, 2021
Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin

* The Web Conference (formerly WWW) 2021 

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Multi-way Spectral Clustering of Augmented Multi-view Data through Deep Collective Matrix Tri-factorization


Sep 12, 2020
Ragunathan Mariappan, Vaibhav Rajan


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Inferring Concept Prerequisite Relations from Online Educational Resources


Nov 30, 2018
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan

* Accepted at the AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-19) 

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Deep Collective Matrix Factorization for Augmented Multi-View Learning


Nov 28, 2018
Ragunathan Mariappan, Vaibhav Rajan


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A Statistical Model for Stroke Outcome Prediction and Treatment Planning


Feb 22, 2016
Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G R K Sarma


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