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Found 2 papers, 1 papers with code
MFNets: Data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources
We present an approach for constructing a surrogate from ensembles of information sources of varying cost and accuracy.
Gradient-based Optimization for Regression in the Functional Tensor-Train Format
We consider the task of low-multilinear-rank functional regression, i. e., learning a low-rank parametric representation of functions from scattered real-valued data.
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