4 papers
Spectral deferred corrections parallelized across the method for differential-algebraic equations
Matthias Bolten, Lisa Wimmer
In this work, the performance of different spectral deferred corrections (SDC) methods applied to initial value problems for differential-algebraic equations (DAEs) of index one is…
On the analysis of spectral deferred corrections for differential-algebraic equations of index one
Matthias Bolten, Lisa Wimmer
In this paper, we present a new spectral deferred corrections (SDC) method to solve semi-explicit differential-algebraic equations (DAEs) with the ability to be parallelized. The n…
DustNET: enabling machine learning and AI models of dusty plasmas
Zhehui Wang, Justin C. Burton, Niklas Dormagen +30
Dusty plasmas are ubiquitous throughout the universe, spanning laboratory and industrial plasmas, fusion devices, planetary environments, cometary comae, and interstellar media. De…
Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning
Lisa Wimmer, Bernd Bischl, Ludwig Bothmann
The correct way to quantify predictive uncertainty in neural networks remains a topic of active discussion. In particular, it is unclear whether the state-of-the art entropy decomp…