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David Holzmüller
David Holzmüller
Verified email at mathematik.uni-stuttgart.de - Homepage
Title
Cited by
Cited by
Year
Efficient Neighbor-Finding on Space-Filling Curves
D Holzmüller
arXiv preprint arXiv:1710.06384, 2017
112017
Muscles reduce neuronal information load: quantification of control effort in biological vs. robotic pointing and walking
DFB Haeufle, I Wochner, D Holzmüller, D Driess, M Günther, S Schmitt
Frontiers in Robotics and AI 7, 77, 2020
82020
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
D Holzmüller, I Steinwart
arXiv preprint arXiv:2002.04861, 2020
42020
Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
V Zaverkin, D Holzmüller, I Steinwart, J Kästner
Journal of Chemical Theory and Computation 17 (10), 6658-6670, 2021
22021
Improved approximation schemes for the restricted shortest path problem
D Holzmüller
arXiv preprint arXiv:1711.00284, 2017
22017
On the Universality of the Double Descent Peak in Ridgeless Regression
D Holzmüller
International Conference on Learning Representations 2021, 2020
12020
Convergence Analysis of Neural Networks
D Holzmüller
University of Stuttgart, 2019
12019
Predicting properties of periodic systems from cluster data: A case study of liquid water
V Zaverkin, D Holzmüller, R Schuldt, J Kästner
The Journal of Chemical Physics 156 (11), 114103, 2022
2022
A Framework and Benchmark for Deep Batch Active Learning for Regression
D Holzmüller, V Zaverkin, J Kästner, I Steinwart
arXiv preprint arXiv:2203.09410, 2022
2022
Fast Sparse Grid Operations Using the Unidirectional Principle: A Generalized and Unified Framework
D Holzmüller, D Pflüger
Sparse Grids and Applications-Munich 2018, 69-100, 2021
2021
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Articles 1–10