Vishnu Raj

Orcid: 0000-0002-6939-8884

According to our database1, Vishnu Raj authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

2023
HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes.
Bioinform., September, 2023

Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Deep Reinforcement Learning Based Blind mmWave MIMO Beam Alignment.
IEEE Trans. Wirel. Commun., 2022

Look beyond labels: Incorporating functional summary information in Bayesian neural networks.
CoRR, 2022

2020
Beyond 5G: Leveraging Cell Free TDD Massive MIMO Using Cascaded Deep Learning.
IEEE Wirel. Commun. Lett., 2020

Design of Communication Systems Using Deep Learning: A Variational Inference Perspective.
IEEE Trans. Cogn. Commun. Netw., 2020

Leveraging Online Learning for CSS in Frugal IoT Network.
IEEE Trans. Cogn. Commun. Netw., 2020

Understanding Learning Dynamics of Binary Neural Networks via Information Bottleneck.
CoRR, 2020

Deep Reinforcement Learning based Blind mmWave MIMO Beam Alignment.
CoRR, 2020

2019
Blind decoding in α-Stable noise: An online learning approach.
CoRR, 2019

2018
Spectrum Access In Cognitive Radio Using a Two-Stage Reinforcement Learning Approach.
IEEE J. Sel. Top. Signal Process., 2018

Backpropagating Through the Air: Deep Learning at Physical Layer Without Channel Models.
IEEE Commun. Lett., 2018

A Non-parametric Multi-stage Learning Framework for Cognitive Spectrum Access in IoT Networks.
CoRR, 2018

2017
An aggregating strategy for shifting experts in discrete sequence prediction.
CoRR, 2017

Taming Non-stationary Bandits: A Bayesian Approach.
CoRR, 2017


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