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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have
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the context of teaching and supervision duties. Could be expected to contribute to specialist courses such as research methods and equipment. Develop research objectives and proposals for own or joint research
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