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Fabio Nobile

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Yoshihito Kazashi

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Publications

2023
[j53]
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  - journals/siamnum/KazashiN23
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  - https://dblp.org/rec/journals/siamnum/KazashiN23
Yoshihito Kazashi, Fabio Nobile:
Density Estimation in RKHS with Application to Korobov Spaces in High Dimensions. SIAM J. Numer. Anal. 61(2): 1080-1102 (2023)
[i18]
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  - journals/corr/abs-2308-11581
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Yoshihito Kazashi, Fabio Nobile, Fabio Zoccolan:
Dynamically Orthogonal Approximation for Stochastic Differential Equations. CoRR abs/2308.11581 (2023)
2022
[j49]
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  - journals/nm/KaarniojaKKNS22
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Vesa Kaarnioja, Yoshihito Kazashi, Frances Y. Kuo, Fabio Nobile, Ian H. Sloan:
Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification. Numerische Mathematik 150(1): 33-77 (2022)
2021
[j44]
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  - journals/nm/KazashiNV21
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Yoshihito Kazashi, Fabio Nobile, Eva Vidlicková:
Stability properties of a projector-splitting scheme for dynamical low rank approximation of random parabolic equations. Numerische Mathematik 149(4): 973-1024 (2021)
[i10]
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  dblp key:
  - journals/corr/abs-2108-12699
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Yoshihito Kazashi, Fabio Nobile:
Density estimation in RKHS with application to Korobov spaces in high dimensions. CoRR abs/2108.12699 (2021)
2020
[i8]
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  - journals/corr/abs-2002-02356
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Yoshihito Kazashi, Fabio Nobile:
Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval. CoRR abs/2002.02356 (2020)
[i5]
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  - journals/corr/abs-2006-05211
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Yoshihito Kazashi, Fabio Nobile, Eva Vidlicková:
Stability properties of a projector-splitting scheme for the dynamical low rank approximation of random parabolic equations. CoRR abs/2006.05211 (2020)
[i4]
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  - journals/corr/abs-2007-06367
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Vesa Kaarnioja, Yoshihito Kazashi, Frances Y. Kuo, Fabio Nobile, Ian H. Sloan:
Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification. CoRR abs/2007.06367 (2020)

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