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Vaibhav Rajan

13 papers hereh-index 191.4k citations76 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author8

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • q-bio.GN2
  • stat.ML2
  • cs.CL1
  • stat.AP1
  • stat.CO1
same name
  • Vaibhav Rajan — 2 papers, h 2
  • Vaibhav Rajan — 1 paper, h 1
  • Vaibhav Rajan — 1 paper, h 1
  • Vaibhav Rajan — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedDeep Collective Matrix Factorization for Augmented Multi-View Learning

16 citations · 26 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

stat.ME2020★ 5 cited

Improved Inference of Gaussian Mixture Copula Model for Clustering and Reproducibility Analysis using Automatic Differentiation

Siva Rajesh Kasa, Vaibhav Rajan

Copulas provide a modular parameterization of multivariate distributions that decouples the modeling of marginals from the dependencies between them. Gaussian Mixture Copula Model…

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.…

stat.ML2020

Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional Data

Siva Rajesh Kasa, Vaibhav Rajan

We study two practically important cases of model based clustering using Gaussian Mixture Models: (1) when there is misspecification and (2) on high dimensional data, in the light…

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