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Nick Dexter
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Nick Dexter14 visible / 14 total nodes / 30 links

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Related contextCo-authorshipAuthorshipAuthorshipAuthorshipWorks onWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalNick DexterANick DexterResearcherActive Learning for Conditional Generative Compressed SensingWActive Learning for Con...preprint / 2026Alexander DeLiseAAlexander DeLiseResearcherReconstructing high-dimensional Hilbert-valued functions via compressed sensingWReconstructing high-dim...preprint / 2019A mixed $\ell_1$ regularization approach for sparse simultaneous approximation of parameterized PDEsWA mixed $\ell_1$ regula...preprint / 2018Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficientsWExplicit cost bounds of...preprint / 2016Machine LearningTMachine Learning49008 worksmath.NATmath.NA6807 worksThe gap between theory and practice in function approximation with deep neural networksWThe gap between theory ...preprint / 2021Improved recovery guarantees and sampling strategies for TV minimization in compressive imagingWImproved recovery guara...preprint / 2020Polynomial approximation via compressed sensing of high-dimensional functions on lower setsWPolynomial approximatio...preprint / 2016Towards optimal sampling for learning sparse approximation in high dimensionsWTowards optimal samplin...preprint / 2022CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep LearningWCAS4DL: Christoffel Ada...preprint / 2022Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited DataWDeep Neural Networks Ar...preprint / 2021
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Nick Dexter

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PaperActive Learning for Conditional Generative Compressed SensingAuthorship / preprint / 2026PersonAlexander DeLiseCo-authorship / ResearcherPaperReconstructing high-dimensional Hilbert-valued functions via compressed sensingAuthorship / preprint / 2019PaperA mixed ℓ1\ell_1 regularization approach for sparse simultaneous approximation of parameterized PDEsAuthorship / preprint / 2018PaperExplicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficientsAuthorship / preprint / 2016TopicMachine LearningWorks on / 49008 worksTopicmath.NAWorks on / 6807 worksPaperThe gap between theory and practice in function approximation with deep neural networksAuthorship / preprint / 2021

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