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 Tractable Optimal Experimental Design using Transport MapsInverse Problems (IP), 2024 |
 An Approximation Theory Framework for Measure-Transport Sampling
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 Tensor-train methods for sequential state and parameter learning in
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 Deep importance sampling using tensor trains with application to a
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 Scalable conditional deep inverse Rosenblatt transports using
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