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Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays

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Time-varying functional connectivity as Wishart processes

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Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees

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Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization

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Competitive Amplification Networks enable molecular pattern recognition with PCR

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Convergence of Sparse Variational Inference in Gaussian Processes Regression

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GPflow: A Gaussian Process Library using TensorFlow

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