16 citations · 16 across the 3 of their papers we have counts for
3 papers
stat.ML2021
Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization
Ragunathan Mariappan, Vaibhav Rajan
Heterogeneous multi-typed, multimodal relational data is increasingly available in many domains and their exploratory analysis poses several challenges. We advance the state-of-the…
cs.LG2020
Multi-way Spectral Clustering of Augmented Multi-view Data through Deep Collective Matrix Tri-factorization
Ragunathan Mariappan, Siva Rajesh Kasa, Vaibhav Rajan
We present the first deep learning based architecture for collective matrix tri-factorization (DCMTF) of arbitrary collections of matrices, also known as augmented multi-view data.…
cs.LG2018★ 16 cited
Deep Collective Matrix Factorization for Augmented Multi-View Learning
Ragunathan Mariappan, Vaibhav Rajan
Learning by integrating multiple heterogeneous data sources is a common requirement in many tasks. Collective Matrix Factorization (CMF) is a technique to learn shared latent repre…