Felix Voigtländer

28 papers A* 2Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Near-optimal estimates for the ℓ CoRR Sjoerd Dirksen, Patrick Finke, Paul Geuchen, Dominik Stöger, Felix Voigtländer
2024	J	`jnl`	On best approximation by multivariate ridge functions with applications to generalized translation networks. CoRR Paul Geuchen, Palina Salanevich, Olov Schavemaker, Felix Voigtländer
2024	J	`jnl`	Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces. Found. Comput. Math. Philipp Grohs, Felix Voigtländer
2023	A*	`conf`	Learning ReLU networks to high uniform accuracy is intractable. ICLR Julius Berner, Philipp Grohs, Felix Voigtländer
2023	J	`jnl`	Optimal approximation of C CoRR Paul Geuchen, Felix Voigtländer
2023	A*	`conf`	Optimal approximation using complex-valued neural networks. NeurIPS Paul Geuchen, Felix Voigtländer
2023	J	`jnl`	Phase Transitions in Rate Distortion Theory and Deep Learning. Found. Comput. Math. Philipp Grohs, Andreas Klotz, Felix Voigtländer
2023	J	`jnl`	Sampling numbers of smoothness classes via J. Complex. Thomas Jahn, Tino Ullrich, Felix Voigtländer
2023	J	`jnl`	Upper and lower bounds for the Lipschitz constant of random neural networks. CoRR Paul Geuchen, Thomas Heindl, Dominik Stöger, Felix Voigtländer
2022	J	`jnl`	$L^p$ sampling numbers for the Fourier-analytic Barron space. CoRR Felix Voigtländer
2022	J	`jnl`	Quantitative Approximation Results for Complex-Valued Neural Networks. SIAM J. Math. Data Sci. Andrei Caragea, Dae Gwan Lee, Johannes Maly, Götz E. Pfander, Felix Voigtländer
2022	J	`jnl`	Sampling numbers of smoothness classes via 𝓁 CoRR Thomas Jahn, Tino Ullrich, Felix Voigtländer
2022	J	`jnl`	Training ReLU networks to high uniform accuracy is intractable. CoRR Julius Berner, Philipp Grohs, Felix Voigtländer
2021	J	`jnl`	Optimal learning of high-dimensional classification problems using deep neural networks. CoRR Philipp Petersen, Felix Voigtländer
2021	J	`jnl`	Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces. CoRR Philipp Grohs, Felix Voigtländer
2021	J	`jnl`	Quantitative approximation results for complex-valued neural networks. CoRR Andrei Caragea, Dae Gwan Lee, Johannes Maly, Götz E. Pfander, Felix Voigtländer
2021	J	`jnl`	Sobolev-type embeddings for neural network approximation spaces. CoRR Philipp Grohs, Felix Voigtländer
2021	J	`jnl`	Topological Properties of the Set of Functions Generated by Neural Networks of Fixed Size. Found. Comput. Math. Philipp Petersen, Mones Raslan, Felix Voigtländer
2020	J	`jnl`	Phase Transitions in Rate Distortion Theory and Deep Learning. CoRR Philipp Grohs, Andreas Klotz, Felix Voigtländer
2020	J	`jnl`	The universal approximation theorem for complex-valued neural networks. CoRR Felix Voigtländer
2019	J	`jnl`	Approximation in L CoRR Felix Voigtländer, Philipp Petersen
2019	J	`jnl`	Approximation spaces of deep neural networks. CoRR Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtländer
2018	J	`jnl`	Equivalence of approximation by convolutional neural networks and fully-connected networks. CoRR Philipp Petersen, Felix Voigtländer
2018	J	`jnl`	Optimal approximation of piecewise smooth functions using deep ReLU neural networks. Neural Networks Philipp Petersen, Felix Voigtländer
2017	J	`jnl`	Optimal approximation of piecewise smooth functions using deep ReLU neural networks. CoRR Philipp Petersen, Felix Voigtländer
2016	J	`jnl`	Identifying the Root Causes of Wait States in Large-Scale Parallel Applications. ACM Trans. Parallel Comput. David Böhme, Markus Geimer, Lukas Arnold, Felix Voigtländer, Felix Wolf
2010	—	`conf`	Guided Performance Analysis Combining Profile and Trace Tools. Euro-Par Workshops Judit Giménez, Jesús Labarta, F. Xavier Pegenaute, Hui-Fang Wen, David J. Klepacki, I-Hsin Chung, Guojing Cong, Felix Voigtländer, Bernd Mohr
2009	—	`conf`	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 Thomas William, Hartmut Mix, Bernd Mohr, René Menzel, Felix Voigtländer