Deepak Maurya

According to our database, Deepak Maurya authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers.

Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha P. Talukdar

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

2022

Identification of errors-in-variables ARX models using modified dynamic iterative PCA.

Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan

J. Frankl. Inst., 2022

A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression.

Deepak Maurya, Jean Honorio

CoRR, 2022

A Novel Plug-and-Play Approach for Adversarially Robust Generalization.

Deepak Maurya, Adarsh Barik, Jean Honorio

CoRR, 2022

Segregation of Multiple Robots Using Model Predictive Control With Asynchronous Path Smoothing.

Shreyash Gupta, Saurabh Chaudhary, Deepak Maurya, Shyam K. Joshi, Niladri Sekhar Tripathy, Suril Vijaykumar Shah

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

Hyperedge Prediction using Tensor Eigenvalue Decomposition.

Deepak Maurya, Balaraman Ravindran

CoRR, 2021

2020

Hypergraph Partitioning using Tensor Eigenvalue Decomposition.

Deepak Maurya, Balaraman Ravindran

CoRR, 2020

Identification of MISO systems in Minimal Realization Form.

Chaithanya K. Donda, Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan

CoRR, 2020

ARX Model Identification using Generalized Spectral Decomposition.

Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan

CoRR, 2020

Incorporating prior knowledge about structural constraints in model identification.

Deepak Maurya, Sivadurgaprasad Chinta, Abhishek Sivaram, Raghunathan Rengaswamy

CoRR, 2020