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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.026
Abstract: Abstract Exploiting prior/human knowledge is an effective way to enhance Bayesian models, especially in cases of sparse or noisy data, for which building an entirely new model is not always possible. There is a lack…
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Keywords:
prior knowledge;
knowledge;
variational bayes;
boosting prior ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3113679
Abstract: We propose a model-driven Bayesian deep learning framework for multiple access uplink systems in Multiuser MIMO systems. Utilizing tools from Streaming Variational Inference, we combine graphical models with neural networks to enable fast online machine…
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Keywords:
neural networks;
streaming variational;
transformer based;
access ... See more keywords