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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3279124
Abstract: Producing deep neural network (DNN) models with calibrated confidence is essential for applications in many fields, such as medical image analysis, natural language processing, and robotics. Modern neural networks have been reported to be poorly…
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Keywords:
langevin dynamics;
calibration;
gradient langevin;
gradient ... See more keywords
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1
Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3151141
Abstract: In this letter a MIMO detector with low computational complexity is proposed based on Stochastic Gradient Langevin Dynamics (SGLD). The proposed detector estimates the modulated symbols through a non-convex optimization problem which is solved by…
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Keywords:
langevin dynamics;
gradient langevin;
mimo;
stochastic gradient ... See more keywords