Philipp Grohs

Prof. Dr.

Philipp Grohs

Prof. Dr.

Group Leader
Mathematical Data Science

+43 1 4277 50613
Philipp.Grohs(at)oeaw.ac.at

https://mds.univie.ac.at/people/univ-prof-dr-philipp-grohs/

Publications

From completeness of discrete translates to phaseless sampling of the short-time Fourier transform. / Grohs, Philipp; Liehr, Lukas; Shafkulovska, Irina.
in: Advances in Computational Mathematics, Jahrgang 51, Nr. 3, 28, 06.2025.
DOI RIS ENW BIB
FakET: Simulating cryo-electron tomograms with neural style transfer. / Harar, Pavol; Herrmann, Lukas; Grohs, Philipp et al.
in: Structure, Jahrgang 33, Nr. 4, 03.04.2025.
DOI RIS ENW BIB
Multi-window STFT phase retrieval: Lattice uniqueness. / Grohs, Philipp; Liehr, Lukas; Rathmair, Martin.
in: Journal of Functional Analysis, Jahrgang 288, Nr. 3, 01.02.2025, S. ARTN 110733.
DOI RIS ENW BIB
Deep learning variational Monte Carlo for solving the electronic Schrödinger equation. / Gerard, Leon; Grohs, Philipp; Scherbela, Michael.
in: Handbook of Numerical Analysis, Jahrgang 25, 30.06.2024, S. 231-292.
DOI RIS ENW BIB
Sampling Complexity of Deep Approximation Spaces. / Abdeljawad, Ahmed; Grohs, Philipp.
in: Analysis and Applications, Jahrgang 23, Nr. 01, 31.05.2024, S. 1-30.
DOI Website Download RIS ENW BIB
Phaseless Sampling on Square-Root Lattices. / Grohs, Philipp; Liehr, Lukas.
in: Foundations of Computational Mathematics, 08.02.2024.
DOI RIS ENW BIB
Towards a transferable fermionic neural wavefunction for molecules. / Scherbela, Michael; Gerard, Leon; Grohs, Philipp.
in: Nature Communications, Jahrgang 15, Nr. 1, 02.01.2024, S. ARTN 120.
DOI RIS ENW BIB
Stable Gabor Phase Retrieval in Gaussian Shift-Invariant Spaces via Biorthogonality. / Grohs, Philipp; Liehr, Lukas.
in: Constructive Approximation, 04.10.2023.
DOI RIS ENW BIB
Lower bounds for artificial neural network approximations: A proof that shallow neural networks fail to overcome the curse of dimensionality. / Grohs, Philipp; Ibragimov, Shokhrukh; Jentzen, Arnulf et al.
in: Journal of Complexity, Jahrgang 77, 15.08.2023, S. ARTN 101746.
DOI RIS ENW BIB
Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces. / Grohs, Philipp; Voigtlaender, Felix.
in: Foundations of Computational Mathematics, 12.07.2023.
DOI RIS ENW BIB
NON-UNIQUENESS THEORY IN SAMPLED STFT PHASE RETRIEVAL. / Grohs, Philipp; Liehr, Lukas.
in: SIAM Journal on Mathematical Analysis, Jahrgang 55, Nr. 5, 15.06.2023, S. 4695-4726.
DOI RIS ENW BIB
Assessing the heterogeneity in the transmission of infectious diseases from time series of epidemiological data. / Schneckenreither, Guenter; Herrmann, Lukas; Reisenhofer, Rafael et al.
in: PLoS ONE, Jahrgang 18, Nr. 5, 15.05.2023.
DOI RIS ENW BIB
A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black-Scholes Partial Differential Equations. / Grohs, Philipp; Hornung, Fabian; Jentzen, Arnulf et al.
in: Memoirs of the American Mathematical Society, Jahrgang 284, Nr. 1410, 15.04.2023, S. 1-106.
DOI RIS ENW BIB
Sobolev-Type Embeddings for Neural Network Approximation Spaces. / Grohs, Philipp; Voigtlaender, Felix.
in: Constructive Approximation, 05.03.2023.
DOI RIS ENW BIB
Injectivity of Gabor phase retrieval from lattice measurements. / Grohs, Philipp; Liehr, Lukas.
in: Applied and Computational Harmonic Analysis, Jahrgang 62, 15.01.2023, S. 173-193.
DOI RIS ENW BIB
Integral representations of shallow neural network with rectified power unit activation function. / Abdeljawad, Ahmed; Grohs, Philipp.
in: Neural Networks, Jahrgang 155, 15.11.2022, S. 536-550.
DOI RIS ENW BIB
Stable Gabor phase retrieval for multivariate functions. / Grohs, Philipp; Rathmair, Martin.
in: Journal of the European Mathematical Society, Jahrgang 24, Nr. 5, 15.06.2022, S. 1593-1615.
DOI RIS ENW BIB
Solving the electronic Schrodinger equation for multiple nuclear geometries with weight-sharing deep neural networks. / Scherbela, Michael; Reisenhofer, Rafael; Gerard, Leon et al.
in: Nature Computational Science, Jahrgang 2, Nr. 5, 15.05.2022, S. 331-341.
DOI RIS ENW BIB
Approximations with deep neural networks in Sobolev time-space. / Abdeljawad, Ahmed; Grohs, Philipp.
in: Analysis and Applications, Jahrgang 20, Nr. 03, 15.05.2022, S. 499-541.
DOI RIS ENW BIB
On Foundational Discretization Barriers in STFT Phase Retrieval. / Grohs, Philipp; Liehr, Lukas.
in: Journal of Fourier Analysis and Applications, Jahrgang 28, Nr. 2, 15.04.2022, S. ARTN 39.
DOI RIS ENW BIB
RICAM, the Johann Radon Institute for Computational and Applied Mathematics. / Grohs, P; Kritzer, P; Kunisch, K et al.
in: European Mathematical Society Magazine, Jahrgang 122, 07.12.2021, S. 46-51.
RIS ENW BIB
Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies. / Verdun, Claudio M; Fuchs, Tim; Harar, Pavol et al.
in: Frontiers in Public Health, Jahrgang 9, 18.08.2021, S. ARTN 583377.
DOI RIS ENW BIB
Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions. / Grohs, P; Herrmann, L.
in: IMA Journal of Numerical Analysis, Jahrgang tba, Nr. tba, 10.05.2021, S. tba.
DOI RIS ENW BIB
DNN Expression Rate Analysis of High-Dimensional PDEs: Application to Option Pricing. / Elbraechter, Dennis; Grohs, Philipp; Jentzen, Arnulf et al.
in: Constructive Approximation, 06.05.2021.
DOI RIS ENW BIB

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sp_landing	Tracks which page the user landed on within Spotify.	1 days	missing translation: type.	Spotify
sp_m	Stores the user’s market region (Spotify).	399 days	missing translation: type.	Spotify
sp_t	Session token used for Spotify playback and access.	365 days	missing translation: type.	Spotify

People

Philipp Grohs

Philipp Grohs

Publications

RICAM

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