Efficient Neighbor-Finding on Space-Filling Curves D Holzmüller arXiv preprint arXiv:1710.06384, 2017 | 11 | 2017 |
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 | 8 | 2020 |
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent D Holzmüller, I Steinwart arXiv preprint arXiv:2002.04861, 2020 | 4 | 2020 |
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 | 2 | 2021 |
Improved approximation schemes for the restricted shortest path problem D Holzmüller arXiv preprint arXiv:1711.00284, 2017 | 2 | 2017 |
On the Universality of the Double Descent Peak in Ridgeless Regression D Holzmüller International Conference on Learning Representations 2021, 2020 | 1 | 2020 |
Convergence Analysis of Neural Networks D Holzmüller University of Stuttgart, 2019 | 1 | 2019 |
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 |