25 citations · 43 across the 2 of their papers we have counts for
3 papers
Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator
Ioannis K. Gallos, Daniel Lehmberg, Felix Dietrich +1
We propose a machine-learning approach to model long-term out-of-sample dynamics of brain activity from task-dependent fMRI data. Our approach is a three stage one. First, we explo…
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space
Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo +3
We introduce a data-driven approach to building reduced dynamical models through manifold learning; the reduced latent space is discovered using Diffusion Maps (a manifold learning…
Can we learn where people go?
Marion Gödel, Gerta Köster, Daniel Lehmberg +3
In most agent-based simulators, pedestrians navigate from origins to destinations. Consequently, destinations are essential input parameters to the simulation. While many other rel…