Felix Voigtländer
Orcid: 0000-0002-5061-2756
According to our database1,
Felix Voigtländer
authored at least 23 papers
between 2009 and 2024.
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Bibliography
2024
Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces.
Found. Comput. Math., August, 2024
On best approximation by multivariate ridge functions with applications to generalized translation networks.
CoRR, 2024
2023
J. Complex., December, 2023
Found. Comput. Math., February, 2023
CoRR, 2023
Optimal approximation of C<sup>k</sup>-functions using shallow complex-valued neural networks.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
SIAM J. Math. Data Sci., 2022
2021
Topological Properties of the Set of Functions Generated by Neural Networks of Fixed Size.
Found. Comput. Math., 2021
Optimal learning of high-dimensional classification problems using deep neural networks.
CoRR, 2021
2020
2019
2018
Neural Networks, 2018
Equivalence of approximation by convolutional neural networks and fully-connected networks.
CoRR, 2018
2016
ACM Trans. Parallel Comput., 2016
2010
Proceedings of the Euro-Par 2010 Parallel Processing Workshops, 2010
2009
Enhanced Performance Analysis of Multi-core Applications with an Integrated Tool-chain - Using Scalasca and Vampir to Optimise the Metal Forming Simulation FE Software INDEED.
Proceedings of the Parallel Computing: From Multicores and GPU's to Petascale, 2009