7 citations · 43 across the 68 of their papers we have counts for
5 papers · 1 filter
HoloBeam: Learning Optimal Beamforming in Far-Field Holographic Metasurface Transceivers
Debamita Ghosh, Manjesh Kumar Hanawal, Nikola Zlatanova
Holographic Metasurface Transceivers (HMTs) are emerging as cost-effective substitutes to large antenna arrays for beamforming in Millimeter and TeraHertz wave communication. Howev…
SplitEE: Early Exit in Deep Neural Networks with Split Computing
Divya J. Bajpai, Vivek K. Trivedi, Sohan L. Yadav +1
Deep Neural Networks (DNNs) have drawn attention because of their outstanding performance on various tasks. However, deploying full-fledged DNNs in resource-constrained devices (ed…
Online Universal Dirichlet Factor Portfolios
Purushottam Parthasarathy, Avinash Bhardwaj, Manjesh K. Hanawal
We revisit the online portfolio allocation problem and propose universal portfolios that use factor weighing to produce portfolios that out-perform uniform dirichlet allocation sch…
Radar Enhanced Multi-Armed Bandit for Rapid Beam Selection in Millimeter Wave Communications
Akanksha Sneh, Sumit Darak, Shobha Sundar Ram +1
Multi-arm bandit (MAB) algorithms have been used to learn optimal beams for millimeter wave communication systems. Here, the complexity of learning the optimal beam linearly scales…
ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels
Fathima Zarin Faizal, Adway Girish, Manjesh Kumar Hanawal +1
We study the problem of best-arm identification in a distributed variant of the multi-armed bandit setting, with a central learner and multiple agents. Each agent is associated wit…