Jakob Zech
Orcid: 0000-0003-3163-3735
According to our database1,
Jakob Zech
authored at least 19 papers
between 2015 and 2024.
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Bibliography
2024
On the mean-field limit for Stein variational gradient descent: stability and multilevel approximation.
CoRR, 2024
2023
Deep Learning in High Dimension: Neural Network Expression Rates for Analytic Functions in \(\pmb{L^2(\mathbb{R}^d,\gamma_d)}\).
SIAM/ASA J. Uncertain. Quantification, March, 2023
Distribution learning via neural differential equations: a nonparametric statistical perspective.
CoRR, 2023
2022
CoRR, 2022
CoRR, 2022
Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs.
CoRR, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
2021
Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in L<sup>2</sup>(R<sup>d</sup>, γ<sub>d</sub>).
CoRR, 2021
Sparse approximation of triangular transports. Part II: the infinite dimensional case.
CoRR, 2021
2020
SIAM/ASA J. Uncertain. Quantification, 2020
2019
Uncertainty Quantification for Spectral Fractional Diffusion: Sparsity Analysis of Parametric Solutions.
SIAM/ASA J. Uncertain. Quantification, 2019
2018
SIAM J. Math. Anal., 2018
2015
A Posteriori Error Estimation of hp-dG Finite Element Methods for Highly Indefinite Helmholtz Problems.
SIAM J. Numer. Anal., 2015