7 citations · 7 across the 2 of their papers we have counts for
2 papers
math.DS2026
Tracking Finite-Time Lyapunov Exponents to Robustify Neural ODEs
Tobias Wöhrer, Christian Kuehn
We investigate finite-time Lyapunov exponents (FTLEs), a measure for exponential separation of input perturbations, of deep neural networks within the framework of continuous-depth…
math.PR2015★ 7 cited
Regularity structures and renormalisation of FitzHugh-Nagumo SPDEs in three space dimensions
Nils Berglund, Christian Kuehn
We prove local existence of solutions for a class of suitably renormalised coupled SPDE-ODE systems driven by space-time white noise, where the space dimension is equal to 2 or 3.…