24 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Adaptive Physics-informed Neural Networks: A Survey
Edgar Torres, Jonathan Schiefer, Mathias Niepert
Physics-informed neural networks (PINNs) have emerged as a promising approach to solving partial differential equations (PDEs) using neural networks, particularly in data-scarce sc…
q-bio.NC2017★ 24 cited
From Correlation to Causation: Estimation of Effective Connectivity from Continuous Brain Signals based on Zero-Lag Covariance
Jonathan Schiefer, Alexander Niederbühl, Volker Pernice +4
Knowing brain connectivity is of great importance both in basic research and for clinical applications. We are proposing a method to infer directed connectivity from zero-lag covar…