Deepak Maurya | Robert Bosch Center for Data Science and Artificial Intelligence

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Deepak Maurya

Deepak Maurya

MS Scholar

Hypergraphs Hyperedge Prediction Tensor Decomposition System Identification

I am currently an MS scholar under the guidance of Prof. B. Ravindran and Prof. Shankar Narasimhan. My current work is on spectral hypergraph theory using tensor representation of hypergraphs. More info can be found on my webpage: https://d-maurya.github.io/

publications

Hypergraph partitioning using tensor eigenvalue decomposition

Hypergraph partitioning using tensor eigenvalue decomposition

Deepak Maurya , Balaraman Ravindran

To appear in the proceedings of the Public Library of Science (PLOS ONE)

Hyperedge Prediction using Tensor Eigenvalue Decomposition

Hyperedge Prediction using Tensor Eigenvalue Decomposition

Deepak Maurya , Balaraman Ravindran

To appear in the Journal of Indian Institute of Science, Special Issue on Emerging Trends in Modeling and Analysis of Complex Systems

Incorporating prior knowledge about structural constraints in model identification

Incorporating prior knowledge about structural constraints in model identification

Deepak Maurya , Sivadurgaprasad Chinta , Abhishek Sivaram and more

arXiv:2007.04030

Optimal Filtering and Residual Analysis in Errors-in-Variables Model Identification

Optimal Filtering and Residual Analysis in Errors-in-Variables Model Identification

Vipul Mann , Deepak Maurya , Arun K. Tangirala and more

Industrial & Engineering Chemistry Research

Identification of Errors-in-Variables Models Using Dynamic Iterative Principal Component Analysis

Identification of Errors-in-Variables Models Using Dynamic Iterative Principal Component Analysis

Deepak Maurya , Arun Tangirala , Shankar Narasimhan

Industrial & Engineering Chemistry Research