1 citations · 1 across the 5 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Optimization of randomized neural networks for transfer operator approximation
Mohammad Tabish, Stefan Klus
RaNNDy is a randomized neural network architecture for the data-driven approximation of transfer operators associated with complex dynamical systems. The weights and biases of the…
math.DS2026
Numerical approximation of the Koopman-von Neumann equation: Operator learning and quantum computing
Stefan Klus, Feliks Nüske, Patrick Gelß
The Koopman-von Neumann equation describes the evolution of wavefunctions associated with autonomous ordinary differential equations and can be regarded as a quantum physics-inspir…