[2] M. Hirsch, F. Pichi. Convergence and Sketching-Based Efficient Computation of Neural Tangent Kernel Weights in Physics-Based Loss. arXiv:2511.15530, 2025
You can also find my articles on Google Scholar.
Preprints
[1] J. Borodavka, M. Hirsch, S. Krumscheid, A. Zanoni. Nonparametric estimation of homogenized invariant measures from multiscale data via Hermite expansion. arXiv:2510.25521v1, 2025
Publications
[4] M. Hirsch, F. Weber. A Convergent Finite Element Scheme for the Q-Tensor Model of Liquid Crystals Subjected to an Electric Field. Accepted to Journal of Numerical Mathematics, 2025
[3] M. Hirsch, F. Pichi, J.S. Hesthaven. Neural empirical interpolation method for nonlinear model reduction. SIAM Journal on Scientific Computing 47 (6), C1264-C1293, 2025
[2] M. Hirsch, F. Weber, Y. Yue. The zero inertia limit for the Q-tensor model of liquid crystals: analysis and numerics. ESAIM: Mathematical Modelling and Numerical Analysis 59 (5), 2515-2556, 2025
[1] M. Hirsch, A. Zanoni. Stochastic gradient descent in continuous time for drift identification in multiscale diffusions. ESAIM: Mathematical Modelling and Numerical Analysis 58 (6), 2387-2414, 2024