F. Voigtlaender

发表论文 43 篇 · 总被引 611 次 · h-index 11

代表论文

• The universal approximation theorem for complex-valued neural networks (2020 · Applied and Computational Harmonic Analysis · 被引 79)
• Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces (2021 · Foundations of Computational Mathematics · 被引 58)
• Neural network approximation and estimation of classifiers with classification boundary in a Barron class (2020 · The Annals of Applied Probability · 被引 44)
• $L^p$ sampling numbers for the Fourier-analytic Barron space (2022 · arXiv.org · 被引 12)
• On dual molecules and convolution-dominated operators (2020 · Journal of Functional Analysis · 被引 12)
• Optimal learning of high-dimensional classification problems using deep neural networks (2021 · arXiv.org · 被引 11)