Rajesh K. Mishra

According to our database, Rajesh K. Mishra authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Majority Is Not Required: A Rational Analysis of the Private Double-Spend Attack from a Sub-Majority Adversary.

Yanni Georghiades, Rajesh K. Mishra, Karl Kreder, Sriram Vishwanath

Distributed Ledger Technol. Res. Pract., March, 2026

2025

Enhancing K-User Interference Alignment for Discrete Constellations via Learning.

Rajesh K. Mishra, Syed Ali Jafar, Sriram Vishwanath, Hyeji Kim

IEEE J. Sel. Areas Commun., July, 2025

2023

Model-Free Reinforcement Learning for Mean Field Games.

Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath

IEEE Trans. Control. Netw. Syst., December, 2023

2022

Inventing Codes for Channels With Active Feedback via Deep Learning.

Karl Chahine, Rajesh K. Mishra, Hyeji Kim

IEEE J. Sel. Areas Inf. Theory, September, 2022

TinyTurbo: Efficient Turbo Decoders on Edge.

S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Gaussian Channels with Feedback: A Dynamic Programming Approach.

Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim

CoRR, 2021

A Channel Coding Benchmark for Meta-Learning.

Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Linear Coding for AWGN Channels with Noisy Output Feedback via Dynamic Programming.

Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim

Proceedings of the IEEE International Symposium on Information Theory, 2021

Distributed Interference Alignment for K-user Interference Channels via Deep Learning.

Rajesh K. Mishra, Karl Chahine, Hyeji Kim, Syed Ali Jafar, Sriram Vishwanath

Proceedings of the IEEE International Symposium on Information Theory, 2021

Decentralized Multi-agent Reinforcement Learning with Shared Actions.

Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Sequential Decomposition of Graphon Mean Field Games.

Deepanshu Vasal, Rajesh K. Mishra, Sriram Vishwanath

Proceedings of the 2021 American Control Conference, 2021

2020

Collision Detection in Dense Wi-Fi Networks using Self-Interference Cancellation.

Rajesh K. Mishra, Yitao Chen, Ian P. Roberts

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

MIMO Full Duplex Radios with Deep Learning.

Yitao Chen, Rajesh K. Mishra, Dan Schwartz, Sriram Vishwanath

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Model-free Reinforcement Learning for Non-stationary Mean Field Games.

Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Model-free Reinforcement Learning for Stochastic Stackelberg Security Games.

Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Nonlinear Distortions Induced by Coherent Combinations in Microwave Photonic Links.

Farzad Mokhtari-Koushyar, Monireh Moayedi Pour Fard, McKay B. Bradford, Thien-An Nguyen, Rajesh K. Mishra, Sriram Vishwanath

Proceedings of the 2019 IEEE Global Communications Conference, 2019