New preprints available:
-
Surrogate to Poincaré inequalities on manifolds for structured dimension reduction in nonlinear feature spaces, with A. Pasco. arXiv preprint arXiv:2602.01143, 2026.
-
Approximation and learning with compositional tensor trains, with M. Eigel, C. Miranda and D. Sommer. arXiv preprint arXiv:2512.18059, 2025.
-
Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces, with A. Pasco. arXiv preprint arXiv:2505.01807
-
Nonlinear manifold approximation using compositional polynomial networks, with A. Bensalah and J. Soffo. arXiv preprint arXiv:2502.05088.
-
Optimal sampling for least squares approximation with general dictionaries, with P. Trunschke. arXiv preprint arXiv:2407.07814.
-
Sample-based almost-sure quasi-optimal approximation in reproducing kernel Hilbert spaces, with N. Hegemann and P. Trunschke. arXiv preprint arXiv:2407.06674.
-
Optimal sampling for stochastic and natural gradient descent., with R. Gruhlke and P. Trunschke. arXiv preprint arXiv:2402.03113.
For available PhD and Post-Doc positions, please contact me.