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Christoph Schwab

ETH Zurich
Technische Hochschule
École Polytechnique Fédérale de Lausanne

529

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12971

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Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs.

2022 CoRR
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Exponential Convergence of hp-Time-Stepping in Space-Time Discretizations of Parabolic PDEs.

2022 CoRR
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De Rham compatible Deep Neural Networks.

2022 CoRR
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Exponential convergence of hp-FEM for the integral fractional Laplacian in 1D.

2022 CoRR
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Constructive Deep ReLU Neural Network Approximation.

2022 J. Sci. Comput.
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Tensor rank bounds for point singularities in ℝ3.

2022 Adv. Comput. Math.
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Deep ReLU Network Expression Rates for Option Prices in high-dimensional, exponential L\'evy models.

2021 arXiv: Numerical Analysis
- Lukas Gonon
- Christoph Schwab
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Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in $L^2(\mathbb{R}^d,\gamma_d)$

2021 arXiv: Numerical Analysis
- Christoph Schwab
- Jakob Zech
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DeepCME: A deep learning framework for solving the Chemical Master Equation

2021 bioRxiv
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DeepCME: A deep learning framework for computing solution statistics of the Chemical Master Equation

2021
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