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Dynamic time warping (DTW) is a useful method for aligning, comparing and combining time series, but it requires them to live in …

Learning physically structured representations of dynamical systems that include contact between different objects is an important …

Gaussian processes are an effective model class for learning unknown functions, particularly in settings where accurately representing …

Bayesian optimization (BO) is a powerful approach for seeking the global optimum of expensive black-box functions and has proven …

Transfer learning considers a learning process where a new task is solved by transferring relevant knowledge from known solutions to …

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