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2020 – today
- 2024
[j7]Philipp Grohs
, Felix Voigtländer:
Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces. Found. Comput. Math. 24(4): 1085-1143 (2024)- 2023
- [j6]Philipp Grohs, Andreas Klotz, Felix Voigtländer:
Phase Transitions in Rate Distortion Theory and Deep Learning. Found. Comput. Math. 23(1): 329-392 (2023) - [j5]Thomas Jahn, Tino Ullrich, Felix Voigtländer:
Sampling numbers of smoothness classes via ℓ1-minimization. J. Complex. 79: 101786 (2023) - [c4]Julius Berner, Philipp Grohs, Felix Voigtländer:
Learning ReLU networks to high uniform accuracy is intractable. ICLR 2023 - [c3]Paul Geuchen, Felix Voigtländer:
Optimal approximation using complex-valued neural networks. NeurIPS 2023 - [i15]Paul Geuchen, Felix Voigtländer:
Optimal approximation of Ck-functions using shallow complex-valued neural networks. CoRR abs/2303.16813 (2023) - [i14]Paul Geuchen, Thomas Heindl, Dominik Stöger, Felix Voigtländer:
Upper and lower bounds for the Lipschitz constant of random neural networks. CoRR abs/2311.01356 (2023) - 2022
- [j4]Andrei Caragea, Dae Gwan Lee, Johannes Maly, Götz E. Pfander, Felix Voigtländer:
Quantitative Approximation Results for Complex-Valued Neural Networks. SIAM J. Math. Data Sci. 4(2): 553-580 (2022) - [i13]Julius Berner, Philipp Grohs, Felix Voigtländer:
Training ReLU networks to high uniform accuracy is intractable. CoRR abs/2205.13531 (2022) - [i12]Felix Voigtländer:
$L^p$ sampling numbers for the Fourier-analytic Barron space. CoRR abs/2208.07605 (2022) - [i11]Thomas Jahn, Tino Ullrich, Felix Voigtländer:
Sampling numbers of smoothness classes via 𝓁1-minimization. CoRR abs/2212.00445 (2022) - 2021
- [j3]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) - [i10]Andrei Caragea, Dae Gwan Lee, Johannes Maly, Götz E. Pfander, Felix Voigtländer:
Quantitative approximation results for complex-valued neural networks. CoRR abs/2102.13092 (2021) - [i9]Philipp Grohs, Felix Voigtländer:
Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces. CoRR abs/2104.02746 (2021) - [i8]Philipp Grohs, Felix Voigtländer:
Sobolev-type embeddings for neural network approximation spaces. CoRR abs/2110.15304 (2021) - [i7]Philipp Petersen, Felix Voigtländer:
Optimal learning of high-dimensional classification problems using deep neural networks. CoRR abs/2112.12555 (2021) - 2020
- [i6]Philipp Grohs, Andreas Klotz, Felix Voigtländer:
Phase Transitions in Rate Distortion Theory and Deep Learning. CoRR abs/2008.01011 (2020) - [i5]Felix Voigtländer:
The universal approximation theorem for complex-valued neural networks. CoRR abs/2012.03351 (2020)
2010 – 2019
- 2019
- [i4]Felix Voigtländer, Philipp Petersen:
Approximation in Lp(μ) with deep ReLU neural networks. CoRR abs/1904.04789 (2019) - [i3]Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtländer:
Approximation spaces of deep neural networks. CoRR abs/1905.01208 (2019) - 2018
- [j2]Philipp Petersen, Felix Voigtländer:
Optimal approximation of piecewise smooth functions using deep ReLU neural networks. Neural Networks 108: 296-330 (2018) - [i2]Philipp Petersen, Felix Voigtländer:
Equivalence of approximation by convolutional neural networks and fully-connected networks. CoRR abs/1809.00973 (2018) - 2017
- [i1]Philipp Petersen, Felix Voigtländer:
Optimal approximation of piecewise smooth functions using deep ReLU neural networks. CoRR abs/1709.05289 (2017) - 2016
- [j1]David Böhme, Markus Geimer, Lukas Arnold, Felix Voigtländer, Felix Wolf:
Identifying the Root Causes of Wait States in Large-Scale Parallel Applications. ACM Trans. Parallel Comput. 3(2): 11:1-11:24 (2016) - 2010
- [c2]Judit Giménez, Jesús Labarta, F. Xavier Pegenaute, Hui-Fang Wen, David J. Klepacki, I-Hsin Chung, Guojing Cong, Felix Voigtländer, Bernd Mohr:
Guided Performance Analysis Combining Profile and Trace Tools. Euro-Par Workshops 2010: 513-521
2000 – 2009
- 2009
- [c1]Thomas William, Hartmut Mix, Bernd Mohr, René Menzel, Felix Voigtländer:
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. PARCO 2009: 701-708
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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