106 citations · 163 across the 10 of their papers we have counts for
11 papers
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
Vishnu Raj, Tianyu Cui, Markus Heinonen +1
Bayesian neural networks (BNNs) can account for both aleatoric and epistemic uncertainty. However, in BNNs the priors are often specified over the weights which rarely reflects tru…
Understanding Learning Dynamics of Binary Neural Networks via Information Bottleneck
Vishnu Raj, Nancy Nayak, Sheetal Kalyani
Compact neural networks are essential for affordable and power efficient deep learning solutions. Binary Neural Networks (BNNs) take compactification to the extreme by constraining…
Deep Reinforcement Learning based Blind mmWave MIMO Beam Alignment
Vishnu Raj, Nancy Nayak, Sheetal Kalyani
Directional beamforming is a crucial component for realizing robust wireless communication systems using millimeter wave (mmWave) technology. Beam alignment using brute-force searc…
Beyond 5G: Leveraging Cell Free TDD Massive MIMO using Cascaded Deep learning
Navaneet Athreya, Vishnu Raj, Sheetal Kalyani
This paper deals with the calibration of Time Division Duplexing (TDD) reciprocity in an Orthogonal Frequency Division Multiplexing (OFDM) based Cell Free Massive MIMO system where…
Leveraging online learning for CSS in frugal IoT network
Nancy Nayak, Vishnu Raj, Sheetal Kalyani
We present a novel method for centralized collaborative spectrum sensing for IoT network leveraging cognitive radio network. Based on an online learning framework, we propose an al…
Blind decoding in -Stable noise: An online learning approach
Vishnu Raj, Sheetal Kalyani
A novel method for performing error control coding in Symmetric Stable noise environments without any prior knowledge about the value of is introduced. We use an online lea…
Design of Communication Systems using Deep Learning: A Variational Inference Perspective
Vishnu Raj, Sheetal Kalyani
Recent research in the design of end to end communication system using deep learning has produced models which can outperform traditional communication schemes. Most of these archi…
A Centralized Multi-stage Non-parametric Learning Algorithm for Opportunistic Spectrum Access
Thulasi Tholeti, Vishnu Raj, Sheetal Kalyani
Owing to the ever-increasing demand in wireless spectrum, Cognitive Radio (CR) was introduced as a technique to attain high spectral efficiency. As the number of secondary users (S…
An aggregating strategy for shifting experts in discrete sequence prediction
Vishnu Raj, Sheetal Kalyani
We study how we can adapt a predictor to a non-stationary environment with advises from multiple experts. We study the problem under complete feedback when the best expert changes…
Spectrum Access In Cognitive Radio Using A Two Stage Reinforcement Learning Approach
Vishnu Raj, Irene Dias, Thulasi Tholeti +1
With the advent of the 5th generation of wireless standards and an increasing demand for higher throughput, methods to improve the spectral efficiency of wireless systems have beco…
Taming Non-stationary Bandits: A Bayesian Approach
Vishnu Raj, Sheetal Kalyani
We consider the multi armed bandit problem in non-stationary environments. Based on the Bayesian method, we propose a variant of Thompson Sampling which can be used in both rested…