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Distributed and Rate-Adaptive Feature Compression
Our goal is to design a feature compression {scheme} that can adapt to the varying communication constraints, while maximizing the inference performance at the fusion center.
Uncovering multifunctional mechano-intelligence in and through phononic metastructures harnessing physical reservoir computing
The recent advances in autonomous systems have prompted a strong demand for the next generation of adaptive structures and materials to possess more built-in intelligence in their mechanical domain, the so-called mechano-intelligence (MI).
Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization
We study the robust mean estimation problem in high dimensions, where $\alpha <0. 5$ fraction of the data points can be arbitrarily corrupted.
Sequential Controlled Sensing for Composite Multihypothesis Testing
The distribution of observations collected under each control is assumed to follow a single-parameter exponential family distribution.
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