252 citations · 629 across the 33 of their papers we have counts for
4 papers · 1 filter
Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification
Ionut-Gabriel Farcas, Benjamin Peherstorfer, Tobias Neckel +2
Multi-fidelity Monte Carlo methods leverage low-fidelity and surrogate models for variance reduction to make tractable uncertainty quantification even when numerically simulating t…
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs
Severin Reiz, Tobias Neckel, Hans-Joachim Bungartz
Training deep neural networks consumes increasing computational resource shares in many compute centers. Often, a brute force approach to obtain hyperparameter values is employed.…
FAIR data enabling new horizons for materials research
Matthias Scheffler, Martin Aeschlimann, Martin Albrecht +11
The prosperity and lifestyle of our society are very much governed by achievements in condensed matter physics, chemistry and materials science, because new products for sectors su…
Active-learning-based non-intrusive Model Order Reduction
Qinyu Zhuang, Dirk Hartmann, Hans Joachim Bungartz +1
The Model Order Reduction (MOR) technique can provide compact numerical models for fast simulation. Different from the intrusive MOR methods, the non-intrusive MOR does not require…