Rajesh K. Mishra

23 papers B 4C 1Misc 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Majority Is Not Required: A Rational Analysis of the Private Double-Spend Attack from a Sub-Majority Adversary.
Distributed Ledger Technol. Res. Pract.
Yanni Georghiades, Rajesh K. Mishra, Karl Kreder, Sriram Vishwanath
2025 J jnl
Enhancing K-User Interference Alignment for Discrete Constellations via Learning.
IEEE J. Sel. Areas Commun.
Rajesh K. Mishra, Syed Ali Jafar, Sriram Vishwanath, Hyeji Kim
2023 J jnl
Linear Coding for AWGN Channels With Noisy Output Feedback via Dynamic Programming.
IEEE Trans. Inf. Theory
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
2023 J jnl
Majority is Not Required: A Rational Analysis of the Private Double-Spend Attack from a Sub-Majority Adversary.
CoRR
Yanni Georghiades, Rajesh K. Mishra, Karl Kreder, Sriram Vishwanath
2023 J jnl
Model-Free Reinforcement Learning for Mean Field Games.
IEEE Trans. Control. Netw. Syst.
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
2022 J jnl
Inventing Codes for Channels With Active Feedback via Deep Learning.
IEEE J. Sel. Areas Inf. Theory
Karl Chahine, Rajesh K. Mishra, Hyeji Kim
2022 B conf
TinyTurbo: Efficient Turbo Decoders on Edge.
ISIT
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
2022 J jnl
TinyTurbo: Efficient Turbo Decoders on Edge.
CoRR
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
2021 — conf
A Channel Coding Benchmark for Meta-Learning.
NeurIPS Datasets and Benchmarks
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021 J jnl
A Channel Coding Benchmark for Meta-Learning.
CoRR
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021 Misc conf
Decentralized Multi-agent Reinforcement Learning with Shared Actions.
CISS
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
2021 B conf
Distributed Interference Alignment for K-user Interference Channels via Deep Learning.
ISIT
Rajesh K. Mishra, Karl Chahine, Hyeji Kim, Syed Ali Jafar, Sriram Vishwanath
2021 J jnl
Gaussian Channels with Feedback: A Dynamic Programming Approach.
CoRR
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
2021 B conf
Linear Coding for AWGN Channels with Noisy Output Feedback via Dynamic Programming.
ISIT
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
2021 C conf
Sequential Decomposition of Graphon Mean Field Games.
ACC
Deepanshu Vasal, Rajesh K. Mishra, Sriram Vishwanath
2020 — conf
Collision Detection in Dense Wi-Fi Networks using Self-Interference Cancellation.
ICC Workshops
Rajesh K. Mishra, Yitao Chen, Ian P. Roberts
2020 J jnl
Decentralized multi-agent reinforcement learning with shared actions.
CoRR
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
2020 — conf
MIMO Full Duplex Radios with Deep Learning.
ICC Workshops
Yitao Chen, Rajesh K. Mishra, Dan Schwartz, Sriram Vishwanath
2020 — conf
Model-free Reinforcement Learning for Non-stationary Mean Field Games.
CDC
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
2020 J jnl
Model-free Reinforcement Learning for Non-stationary Mean Field Games.
CoRR
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
2020 — conf
Model-free Reinforcement Learning for Stochastic Stackelberg Security Games.
CDC
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
2020 J jnl
Sequential decomposition of graphon mean field games.
CoRR
Deepanshu Vasal, Rajesh K. Mishra, Sriram Vishwanath
2019 B conf
Nonlinear Distortions Induced by Coherent Combinations in Microwave Photonic Links.
GLOBECOM
Farzad Mokhtari-Koushyar, Monireh Moayedi Pour Fard, McKay B. Bradford, Thien-An Nguyen, Rajesh K. Mishra, Sriram Vishwanath