32 citations · 33 across the 3 of their papers we have counts for
3 papers
cs.LG2025
How deep is your network? Deep vs. shallow learning of transfer operators
Mohammad Tabish, Benedict Leimkuhler, Stefan Klus
We propose a randomized neural network approach called RaNNDy for learning transfer operators and their spectral decompositions from data. The weights of the hidden layers of the n…
math.DS2024★ 1 cited
Learning dynamical systems from data: Gradient-based dictionary optimization
Mohammad Tabish, Neil K. Chada, Stefan Klus
The Koopman operator plays a crucial role in analyzing the global behavior of dynamical systems. Existing data-driven methods for approximating the Koopman operator or discovering…
cs.LG2022★ 32 cited
Diagnosis of Schizophrenia: A comprehensive evaluation
M. Tanveer, Jatin Jangir, M. A. Ganaie +3
Machine learning models have been successfully employed in the diagnosis of Schizophrenia disease. The impact of classification models and the feature selection techniques on the d…