106 citations · 310 across the 82 of their papers we have counts for
6 papers · 1 filter
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…
Cooperative relaying in a SWIPT network:Asymptotic analysis using extreme value theory for non-identically distributed RVs
Athira Subhash, Sheetal Kalyani
This paper derives the distribution of the maximum end-to-end (e2e) signal to noise ratio (SNR) in an opportunistic relay selection based cooperative relaying (CR) network having l…
Intelligent Reflecting Surface Assisted Beam Index-Modulation for Millimeter Wave Communication
Sarath Gopi, Sheetal Kalyani, Lajos Hanzo
Millimeter wave communication is eminently suitable for high-rate wireless systems, which may be beneficially amalgamated with intelligent reflecting surfaces (IRS), relying on bea…
Tune smarter not harder: A principled approach to tuning learning rates for shallow nets
Thulasi Tholeti, Sheetal Kalyani
Effective hyper-parameter tuning is essential to guarantee the performance that neural networks have come to be known for. In this work, a principled approach to choosing the learn…
Green DetNet: Computation and Memory efficient DetNet using Smart Compression and Training
Nancy Nayak, Thulasi Tholeti, Muralikrishnan Srinivasan +1
This paper introduces an incremental training framework for compressing popular Deep Neural Network (DNN) based unfolded multiple-input-multiple-output (MIMO) detection algorithms…
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…