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Detection of Thermal Events by Semi-Supervised Learning for Tokamak First Wall Safety
Semi-supervised learning (SSL) is a possible solution to being able to train deep learning models with a small amount of labelled data and a large amount of unlabelled data.
Learning high-dimensional probability distributions using tree tensor networks
These algorithms exploit the multilinear parametrization of the formats to recast the nonlinear minimization problem into a sequence of empirical risk minimization problems with linear models.
Learning with tree-based tensor formats
For a given tree, the selection of the tuple of tree-based ranks that minimize the risk is a combinatorial problem.
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