Preprints
| F. Bartel and P. Schröter. Learning and Leveraging Anisotropy Parameters in ANOVA Approximation. arXiv:2511.00251, 2025. | |
| F. Bartel, A. D. Gilbert, F. Y. Kuo, and I. H. Sloan. Minimal Subsampled Rank-1 Lattices for Multivariate Approximation with Optimal Convergence Rate. arXiv:2506.07729, 2025. | |
| F. Bartel, L. Kämmerer, K. Pozharska, M. Schäfer, and T. Ullrich. Exact discretization, tight frames and recovery via D-optimal designs. arXiv:2412.02489, 2024. | |
| F. Bartel and D. Dũng. Sampling recovery in Bochner spaces and applications to parametric PDEs. arXiv:2409.05050, 2024. |
Journal papers
| F. Bartel. Error Guarantees for Least Squares Approximation with Noisy Samples in Domain Adaptation. SMAI J. Comput. Math., 9:95-120, 2023. | |
| F. Bartel, L. Kämmerer, D. Potts, and T. Ullrich. On the reconstruction of functions from values at subsampled quadrature points. Math. Comp. 93:785-809, 2023. | |
| F. Bartel, M. Schäfer, and T. Ullrich. Constructive subsampling of finite frames with applications in optimal function recovery. Appl. Comput. Harmon. Anal., 65:209-248, 2023. | |
| F. Bartel and R. Hielscher. Concentration inequalities for cross-validation in scattered data approximation. J. Approx. Theory, 227:Paper No. 105715, 17, 2022. | |
| F. Bartel, D. Potts, and M. Schmischke. Grouped Transformations in High-Dimensional Explainable ANOVA Approximation. SIAM J. Sci. Comput., 44(3):A1606-A1631, 2022. | |
| F. Bartel, R. Hielscher, and D. Potts. Fast Cross-validation in Harmonic Approximation. Appl. Comput. Harmon. Anal., 49(2):4 15-437, 2020 | |
| F. Bartel, T. B. Britton, and R. Hielscher. Gazing at crystal balls: Electron backscatter diffraction pattern analysis and cross correlation on the sphere. Ultramicroscopy, 207:112836, 2019 |
Proceedings
| F. Bartel and F. Taubert. Nonlinear Approximation with subsampled Rank-1 Lattices. IEEE, Fourteenth International Conference on Sampling Theory and Applications, 2023. | |
| F. Bartel, K. Lüttgen, N. Nagel, and T. Ullrich. Efficient recovery of non-periodic multivariate functions from few scattered samples. IEEE, Fourteenth International Conference on Sampling Theory and Applications, 2023. |
Thesis
| Least Squares in Sampling Complexity and Statistical Learning. Universitätsverlag Chemnitz, 2024. PhD thesis. | |
| Fast Cross-validation in Harmonic Approximation. TU Chemnitz, 2019. Master's thesis. |