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Vishnu Raj
Vishnu Raj
Sr. AI Researcher @ Dolby Laboratories
Verified email at dolby.com - Homepage
Title
Cited by
Cited by
Year
Backpropagating through the air: Deep learning at physical layer without channel models
V Raj, S Kalyani
IEEE Communications Letters 22 (11), 2278-2281, 2018
1152018
Spectrum access in cognitive radio using a two-stage reinforcement learning approach
V Raj, I Dias, T Tholeti, S Kalyani
IEEE Journal of Selected Topics in Signal Processing 12 (1), 20-34, 2018
1002018
Taming non-stationary bandits: A Bayesian approach
V Raj, S Kalyani
arXiv preprint arXiv:1707.09727, 2017
902017
Design of communication systems using deep learning: A variational inference perspective
V Raj, S Kalyani
IEEE Transactions on Cognitive Communications and Networking, 2020
312020
Beyond 5g: Leveraging cell free tdd massive mimo using cascaded deep learning
N Athreya, V Raj, S Kalyani
IEEE Wireless Communications Letters 9 (9), 1533-1537, 2020
262020
Deep reinforcement learning based blind mmwave MIMO beam alignment
V Raj, N Nayak, S Kalyani
IEEE Transactions on Wireless Communications 21 (10), 8772-8785, 2022
232022
Measurement accuracy enhancement with multi-event detection using the deep learning approach in Raman distributed temperature sensors
A Datta, V Raj, V Sankar, S Kalyani, B Srinivasan
Optics Express 29 (17), 26745-26764, 2021
172021
An aggregating strategy for shifting experts in discrete sequence prediction
V Raj, S Kalyani
arXiv preprint arXiv:1708.01744, 2017
52017
HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes
S Wharrie, Z Yang, V Raj, R Monti, R Gupta, Y Wang, A Martin, ...
Bioinformatics 39 (9), btad535, 2023
42023
Understanding Learning Dynamics of Binary Neural Networks via Information Bottleneck
V Raj, N Nayak, S Kalyani
arXiv preprint arXiv:2006.07522, 2020
32020
Leveraging online learning for CSS in frugal IoT network
N Nayak, V Raj, S Kalyani
IEEE Transactions on Cognitive Communications and Networking 6 (4), 1350-1364, 2020
32020
Blind decoding in -Stable noise: An online learning approach
V Raj, S Kalyani
arXiv preprint arXiv:1906.09811, 2019
32019
A Non-parametric Multi-stage Learning Framework for Cognitive Spectrum Access in IoT Networks
T Tholeti, V Raj, S Kalyani
arXiv preprint arXiv:1804.11135, 2018
22018
HAPNEST: An efficient tool for generating large-scale genetics datasets from limited training data
S Wharrie, Z Yang, V Raj, R Monti, R Gupta, Y Wang, A Martin, ...
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022
12022
A comprehensive study on binary optimizer and its applicability
N Nayak, V Raj, S Kalyani
12019
A fast method to generate hundreds of thousands of synthetic genomes and phenotypes
S Wharrie, Z Yang, V Raj, R Gupta, R Monti, Y Wang, PF Palamara, ...
European journal of human genetics 31 (Suppl. 1), 291-291, 2023
2023
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
V Raj, T Cui, M Heinonen, P Marttinen
International Conference on Artificial Intelligence and Statistics, 6741-6763, 2023
2023
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