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Abdeljawad, Ahmed; Grohs, Philipp (2022) Integral representations of shallow neural network with rectified power unit activation function. Neural Netw., Bd. 155, S. 536-550.
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Grohs, Philipp; Rathmair, Martin (2022) Stable Gabor phase retrieval for multivariate functions. J. Eur. Math. Soc., Bd. 24 (5), S. 1593-1615.
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Abdeljawad, Ahmed; Grohs, Philipp (2022) Approximations with deep neural networks in Sobolev time-space. Anal. Appl., Bd. 20 (03), S. 499-541.
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Scherbela, Michael; Reisenhofer, Rafael; Gerard, Leon; Marquetand, Philipp; Grohs, Philipp (2022) Solving the electronic Schrodinger equation for multiple nuclear geometries with weight-sharing deep neural networks. NATURE COMPUTATIONAL SCIENCE, Bd. 2 (5), S. 331-341.
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Grohs, Philipp; Liehr, Lukas (2022) On Foundational Discretization Barriers in STFT Phase Retrieval. J. Fourier Anal. Appl., Bd. 28 (2), S. ARTN 39.
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Grohs, P.; Kritzer, P.; Kunisch, K.; Ramlau, R.; Scherzer, O. (2021) RICAM, the Johann Radon Institute for Computational and Applied Mathematics. European Mathematical Society Magazine, Bd. 122, S. 46-51.
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Verdun, Claudio M.; Fuchs, Tim; Harar, Pavol; Elbrachter, Dennis; Fischer, David S. et al. [..] (2021) Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies. FRONTIERS IN PUBLIC HEALTH, Bd. 9, S. ARTN 583377.
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Elbraechter, Dennis; Grohs, Philipp; Jentzen, Arnulf; Schwab, Christoph (2021) DNN Expression Rate Analysis of High-Dimensional PDEs: Application to Option Pricing. Constr. Approx.
