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Full name Familienname, Vorname
Schuh, Daniel
 
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Own Publications Eigene Publikationen


Results 1-20 of 30 (Search time: 0.003 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Schuh, Daniel ; Ipp, Andreas ; Müller, David ; Aronsson, Jimmy ; Favoni, Matteo Global and local symmetries in neural networksPresentation Vortrag27-Jun-2023
2Favoni, Matteo ; Ipp, Andreas ; Schuh, Daniel ; Müller, David Using equivariant neural networks as maps of gauge field configurationsPresentation Vortrag27-Jun-2023
3Ipp, Andreas ; Müller, David ; Schuh, Daniel ; Favoni, Matteo Visualizing the inner workings of L-CNNsPresentation Vortrag27-Jun-2023
4Aronsson, Jimmy ; Müller, David ; Schuh, Daniel Geometrical aspects of lattice gauge equivariant convolutional neural networksPreprint Preprint23-Mar-2023
5Favoni, Matteo ; Ipp, Andreas ; Müller, David ; Schuh, Daniel Generation of gauge field configurations with equivariant neural networksPresentation Vortrag2-Mar-2023
6Favoni, Matteo ; Ipp, Andreas ; Müller, David ; Schuh, Daniel Machine learning with gauge symmetryPresentation Vortrag6-Apr-2022
7Schuh, Daniel Transverse momentum broadening in the glasma: real-time lattice simulations and the weak-field limitPresentation Vortrag6-Apr-2022
8Ipp, Andreas ; Mueller, David ; Favoni, Matteo ; Schuh, Daniel Preserving gauge invariance in neural networksKonferenzbeitrag Inproceedings 2022
9Ipp, Andreas ; Müller, David I. ; Schuh, Daniel On transverse momentum broadening in real-time lattice simulations of the glasma and in the weak-field limitKonferenzbeitrag Inproceedings 2022
10Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel Lattice gauge equivariant convolutional neural networksArtikel Article 2022
11Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel Equivariance and generalization in neural networksKonferenzbeitrag Inproceedings2022
12Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel Translational equivariance in neural networksPräsentation Presentation2021
13Ipp, Andreas ; Favoni, Matteo ; Mueller, David ; Schuh, Daniel Preserving lattice gauge equivariance in neural networksPräsentation Presentation2021
14Ipp, Andreas ; Favoni, Matteo ; Mueller, David ; Schuh, Daniel Generic Lattice gauge equivariant CNNPräsentation Presentation2021
15Bulusu, Srinath ; Ipp, Andreas ; Favoni, Matteo ; Mueller, David ; Schuh, Daniel Translational and gauge symmetry in neural networks Andreas IppPräsentation Presentation2021
16Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel Generalization capabilities of translationally equivariant neural networksArtikel Article 2021
17Ipp, Andreas ; Mueller, David ; Schuh, Daniel Transverse momentum broadening in real-time lattice simulations of the glasmaPräsentation Presentation2021
18Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel Lattice Gauge Symmetry in Neural NetworksPräsentation Presentation2021
19Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel Implementing gauge symmetry in machine learning modelsPräsentation Presentation2021
20Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel Generalization capabilities of neural networks in lattice applicationsPräsentation Presentation2021

Contributing Publications Mitbeteiligte Publikationen


Results 1-1 of 1 (Search time: 0.001 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Einramhof Lukas - 2022 - Group equivariant neural networks for a scalar field...pdf.jpgEinramhof, Lukas Group equivariant neural networks for a scalar field theoryThesis Hochschulschrift 2022