Applied Mathematics

Published/accepted papers

5. A two-scale complexity measure for deep learning models (with M. Datres, G. Leonardi, and D. Sutter)
   NeurIPS 2024, to appear.
6. Global sensitivity analysis via optimal transport (with E. Borgonovo, E. Plischke, and G. Savaré)
   Management Science, to appear
7. Infinite-width limit of deep linear neural networks (with L. Chizat, M. Colombo, and X. Fernández-Real)
   Comm. Pure Appl. Math., (2024), no. 10, 3958–4007.
8. Strategic execution trajectories (with G. Bordigoni, A. Ledford, and P. Ustinov)
   Applied Mathematical Finance 29 (2022), no. 4, 288-330.
9. The power of quantum neural networks (with A. Abbas, D. Sutter, C. Zoufal, A. Lucchi, and S. Woerner)
   Nat. Comput. Sci. 1 (2021), 403-409.

Submitted papers

1. Effective dimension of machine learning models (with A. Abbas, D. Sutter, and S. Woerner)