Incorporating prior knowledge about structural constraints in model identification. - Deepak Maurya; Sivadurgaprasad Chinta; Abhishek Sivaram; Raghunathan Rengaswamy (CoRR, 2020)

ARX Model Identification using Generalized Spectral Decomposition. - Deepak Maurya; Arun K. Tangirala; Shankar Narasimhan (CoRR, 2020)

Identification of MISO systems in Minimal Realization Form. - Chaithanya K. Donda; Deepak Maurya; Arun K. Tangirala; Shankar Narasimhan (CoRR, 2020)

Hypergraph Partitioning using Tensor Eigenvalue Decomposition. - Deepak Maurya; Balaraman Ravindran (CoRR, 2020)

Hyperedge Prediction using Tensor Eigenvalue Decomposition. - Deepak Maurya; Balaraman Ravindran (CoRR, 2021)

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 (CCTA, 2022)

A Novel Plug-and-Play Approach for Adversarially Robust Generalization. - Deepak Maurya; Adarsh Barik; Jean Honorio (CoRR, 2022)

Identification of errors-in-variables ARX models using modified dynamic iterative PCA. - Deepak Maurya; Arun K. Tangirala; Shankar Narasimhan (J. Frankl. Inst., 2022)

HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers. - Naganand Yadati; Tarun Kumar; Deepak Maurya; Balaraman Ravindran; Partha P. Talukdar (LoG, 2023)

A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression. - Deepak Maurya; Jean Honorio (Trans. Mach. Learn. Res., 2024)

Partial Inference in Structured Prediction. - Chuyang Ke; Deepak Maurya; Jean Honorio (ICASSP, 2025)

Exact Solutions of the Inner Optimization Problem of Adversarial Robustness. - Deepak Maurya; Adarsh Barik; Jean Honorio (ICASSP, 2025)