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ORCIDMones Raslan
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2020 – today
- 2023
[i5]Manuel Kunz, Stefan Birr, Mones Raslan, Lei Ma, Zhen Li, Adèle Gouttes, Mateusz Koren, Tofigh Naghibi, Johannes Stephan, Mariia Bulycheva, Matthias Grzeschik, Armin Kekic, Michael Narodovitch, Kashif Rasul, Julian Sieber, Tim Januschowski:
Deep Learning based Forecasting: a case study from the online fashion industry. CoRR abs/2305.14406 (2023)- 2021
- [j5]Philipp Petersen
, Mones Raslan, Felix Voigtländer:
Topological Properties of the Set of Functions Generated by Neural Networks of Fixed Size. Found. Comput. Math. 21(2): 375-444 (2021) - [j4]Moritz Geist, Philipp Petersen, Mones Raslan, Reinhold Schneider, Gitta Kutyniok:
Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks. J. Sci. Comput. 88(1): 22 (2021) - [j3]Ingo Gühring, Mones Raslan:
Approximation rates for neural networks with encodable weights in smoothness spaces. Neural Networks 134: 107-130 (2021) - 2020
- [j2]Philipp Grohs, Gitta Kutyniok, Jackie Ma, Philipp Petersen, Mones Raslan:
Anisotropic multiscale systems on bounded domains. Adv. Comput. Math. 46(2): 39 (2020) - [i4]Moritz Geist, Philipp Petersen, Mones Raslan, Reinhold Schneider, Gitta Kutyniok:
Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks. CoRR abs/2004.12131 (2020) - [i3]Ingo Gühring, Mones Raslan:
Approximation Rates for Neural Networks with Encodable Weights in Smoothness Spaces. CoRR abs/2006.16822 (2020) - [i2]Ingo Gühring, Mones Raslan, Gitta Kutyniok:
Expressivity of Deep Neural Networks. CoRR abs/2007.04759 (2020)
2010 – 2019
- 2019
- [j1]Philipp Petersen, Mones Raslan:
Approximation properties of hybrid shearlet-wavelet frames for Sobolev spaces. Adv. Comput. Math. 45(3): 1581-1606 (2019) - [i1]Gitta Kutyniok, Philipp Petersen, Mones Raslan, Reinhold Schneider:
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs. CoRR abs/1904.00377 (2019)
Coauthor Index
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