48 citations · 54 across the 4 of their papers we have counts for
9 papers
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…