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Sho Sonoda
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Sho Sonoda14 visible / 14 total nodes / 38 links

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Related contextRelated contextCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onAuthorshipAuthorshipAuthorshipWorks onWorks onAuthorshipWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalSho SonodaASho SonodaResearcherGeneralization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEsWGeneralization Error Bo...preprint / 2026Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical AlgorithmWWinning Lottery Tickets...preprint / 2026Natsuto IsogaiANatsuto IsogaiResearcherMio MuraoAMio MuraoResearcherHayata YamasakiAHayata YamasakiResearcherKoichi TaniguchiAKoichi TaniguchiResearcherMachine LearningTMachine Learning49008 worksRidge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet SpectrumWRidge Regression with O...preprint / 2021Fast Approximation and Estimation Bounds of Kernel Quadrature for Infinitely Wide ModelsWFast Approximation and ...preprint / 2020Nonparametric Weight Initialization of Neural Networks via Integral RepresentationWNonparametric Weight In...preprint / 2014quant-phTquant-ph17817 worksmath.APTmath.AP9009 worksDeep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent KernelWDeep Learning in Random...preprint / 2023
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Sho Sonoda

Researcher

PaperGeneralization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEsAuthorship / preprint / 2026PaperWinning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical AlgorithmAuthorship / preprint / 2026PersonNatsuto IsogaiCo-authorship / ResearcherPersonMio MuraoCo-authorship / ResearcherPersonHayata YamasakiCo-authorship / ResearcherPersonKoichi TaniguchiCo-authorship / ResearcherTopicMachine LearningWorks on / 49008 worksPaperRidge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet SpectrumAuthorship / preprint / 2021

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