181 citations · 190 across the 3 of their papers we have counts for
5 papers
A Parallel Data Compression Framework for Large Scale 3D Scientific Data
Panagiotis Hadjidoukas, Fabian Wermelinger
Large scale simulations of complex systems ranging from climate and astrophysics to crowd dynamics, produce routinely petabytes of data and are projected to reach the zettabytes le…
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans and Bayesian Inference
Jana Lipkova, Panagiotis Angelikopoulos, Stephen Wu +11
Glioblastoma is a highly invasive brain tumor, whose cells infiltrate surrounding normal brain tissue beyond the lesion outlines visible in the current medical scans. These infiltr…
Data-driven prediction and origin identification of epidemics in population networks
Karen Larson, Clark Bowman, Zhizhong Chen +4
Effective intervention strategies for epidemics rely on the identification of their origin and on the robustness of the predictions made by network disease models. We introduce a B…
Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse
Jonas Šukys, Ursula Rasthofer, Fabian Wermelinger +2
We quantify uncertainties in the location and magnitude of extreme pressure spots revealed from large scale multi-phase flow simulations of cloud cavitation collapse. We examine cl…
Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics
Georgios Arampatzis, Daniel Wälchli, Panagiotis Angelikopoulos +3
We propose an algorithm for the efficient and robust sampling of the posterior probability distribution in Bayesian inference problems. The algorithm combines the local search capa…