Efficient Uncertainty Quantification and Global Sensitivity Analysis of Time-dependent outputs in Hydrology Modeling
Sparse Grids and Applications Seminar 2024
2024
Erik A. Maurer
Applying recurrent neural networks (RNNs) in the field of hydrology to explore uncertainty in time series forecasts and enhance theory-based models
Bachelorarbeit
2024
My own private GPU Cluster: Greedy AI-Folks and a Déjà-vu
Durham HPC/AI Days 2024
Durham University
2024
Robert Mihai Budai
Quantum algorithms based on engineered Lindbladian dissipation
Masterarbeit
2024
Cecilie Priller
Computational complexity analysis of the linear combination of unitaries block encoding
Bachelorarbeit
2024
Pazar, Abdulkadir
Optimizing Algorithm Selection in AutoPas with Decision Trees and Random Forests
2024