92 citations · 124 across the 10 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
math.NA2022
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…
cs.LG2022
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.…