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Philipp Grohs

Showing results (1-10 of 8) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|September 27, 2022
Integral representations of shallow neural network with rectified power unit activation functionAhmed Abdeljawad, Philipp Grohs
Numerische Mathematik|June 16, 2017
Scattered manifold-valued data approximationPhilipp Grohs, Markus Sprecher, Thomas Yu
Nature Communications|January 3, 2024
Towards a transferable fermionic neural wavefunction for moleculesMichael Scherbela, Leon Gerard, Philipp Grohs
Structure (London, England : 1993)|February 13, 2025
FakET: Simulating cryo-electron tomograms with neural style transferPavol Harar, Lukas Herrmann, Philipp Grohs, et al.
Nature Computational Science|January 4, 2024
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networksMichael Scherbela, Rafael Reisenhofer, Leon Gerard, et al.
Plos One|May 30, 2023
Assessing the heterogeneity in the transmission of infectious diseases from time series of epidemiological dataGünter Schneckenreither, Lukas Herrmann, Rafael Reisenhofer, et al.
Frontiers in Computational Neuroscience|March 21, 2022
Quantification of Kuramoto Coupling Between Intrinsic Brain Networks Applied to fMRI Data in Major Depressive DisorderLena G Bauer, Fabian Hirsch, Corey Jones, et al.
Frontiers in Public Health|September 7, 2021
Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing StrategiesClaudio M Verdun, Tim Fuchs, Pavol Harar, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|September 27, 2022
Integral representations of shallow neural network with rectified power unit activation functionAhmed Abdeljawad, Philipp Grohs
Numerische Mathematik|June 16, 2017
Scattered manifold-valued data approximationPhilipp Grohs, Markus Sprecher, Thomas Yu
Nature Communications|January 3, 2024
Towards a transferable fermionic neural wavefunction for moleculesMichael Scherbela, Leon Gerard, Philipp Grohs
Structure (London, England : 1993)|February 13, 2025
FakET: Simulating cryo-electron tomograms with neural style transferPavol Harar, Lukas Herrmann, Philipp Grohs, et al.
Nature Computational Science|January 4, 2024
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networksMichael Scherbela, Rafael Reisenhofer, Leon Gerard, et al.
Plos One|May 30, 2023
Assessing the heterogeneity in the transmission of infectious diseases from time series of epidemiological dataGünter Schneckenreither, Lukas Herrmann, Rafael Reisenhofer, et al.
Frontiers in Computational Neuroscience|March 21, 2022
Quantification of Kuramoto Coupling Between Intrinsic Brain Networks Applied to fMRI Data in Major Depressive DisorderLena G Bauer, Fabian Hirsch, Corey Jones, et al.
Frontiers in Public Health|September 7, 2021
Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing StrategiesClaudio M Verdun, Tim Fuchs, Pavol Harar, et al.
Pageof 1