Applied Mathematics

Published/accepted papers

7. Designing particle physics experiments with artificial intelligence (with S. R. Qasim, P. Owen, and N. Serra)
   Frontiers in Physics - Complex Physical Systems, to appear.
8. Variational inference via radial transport (with L. Ghafourpour, S. Chewi, and A-A. Pooladian)
   AISTATS 2026, to appear.
9. A two-scale complexity measure for deep learning models (with M. Datres, G. Leonardi, and D. Sutter)
   NeurIPS 2024, to appear.
10. Global sensitivity analysis via optimal transport (with E. Borgonovo, E. Plischke, and G. Savaré)
    Management Science, to appear
11. 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.
12. Strategic execution trajectories (with G. Bordigoni, A. Ledford, and P. Ustinov)
    Applied Mathematical Finance 29 (2022), no. 4, 288-330.
13. 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)