Improved Bounds on RIP for Generalized Orthogonal Matching Pursuit - Siddhartha Satpathi; Rajib Lochan Das; Mrityunjoy Chakraborty (CoRR, 2013)

Improving the Bound on the RIP Constant in Generalized Orthogonal Matching Pursuit. - Siddhartha Satpathi; Rajib Lochan Das; Mrityunjoy Chakraborty (IEEE Signal Process. Lett., 2013)

Transmission strategies for an energy harvesting Transmitter-Receiver pair. - Siddhartha Satpathi; Rushil Nagda; Rahul Vaze (CoRR, 2014)

On the number of iterations for convergence of CoSaMP and SP algorithm. - Siddhartha Satpathi; Harhsa Vardhana Reddy; Mrityunjoy Chakraborty (CoRR, 2014)

Sparse group covers and greedy tree approximations. - Siddhartha Satpathi; Luca Baldassarre; Volkan Cevher (ISIT, 2015)

Sparse Signal Recovery Using gOMP Assisted mOLS. - Samrat Mukhopadhyay; Siddhartha Satpathi; Mrityunjoy Chakraborty (CoRR, 2015)

Group-Sparse Model Selection: Hardness and Relaxations. - Luca Baldassarre; Nirav Bhan; Volkan Cevher; Anastasios Kyrillidis; Siddhartha Satpathi (IEEE Trans. Inf. Theory, 2016)

Optimal Offline and Competitive Online Strategies for Transmitter-Receiver Energy Harvesting. - Siddhartha Satpathi; Rushil Nagda; Rahul Vaze (IEEE Trans. Inf. Theory, 2016)

A Low Complexity Orthogonal Least Squares Algorithm for Sparse Signal Recovery. - Samrat Mukhopadhyay; Siddhartha Satpathi; Mrityunjoy Chakraborty (SPCOM, 2018)

Learning Latent Events from Network Message Logs: A Decomposition Based Approach. - Siddhartha Satpathi; Supratim Deb; R. Srikant 001; He Yan (CoRR, 2018)

Learning Latent Events From Network Message Logs. - Siddhartha Satpathi; Supratim Deb; R. Srikant 001; He Yan (IEEE/ACM Trans. Netw., 2019)

The Role of Regularization in Overparameterized Neural Networks. - Siddhartha Satpathi; Harsh Gupta; Shiyu Liang; R. Srikant 001 (CDC, 2020)

A modified multiple OLS (m2OLS) algorithm for signal recovery in compressive sensing. - Samrat Mukhopadhyay; Siddhartha Satpathi; Mrityunjoy Chakraborty (Signal Process., 2020)

The Dynamics of Gradient Descent for Overparametrized Neural Networks. - Siddhartha Satpathi; Rayadurgam Srikant (L4DC, 2021)

Sample Complexity and Overparameterization Bounds for Projection-Free Neural TD Learning. - Semih Cayci; Siddhartha Satpathi; Niao He; R. Srikant 001 (CoRR, 2021)

Dynamical systems perspectives in machine learning - Siddhartha Satpathi (2021)

Sample Complexity and Overparameterization Bounds for Temporal-Difference Learning With Neural Network Approximation. - Semih Cayci; Siddhartha Satpathi; Niao He; R. Srikant 001 (IEEE Trans. Autom. Control., 2023)