Daniel Wälchli

Load Balancing in Large Scale Bayesian Inference

Petros Koumoutsakos, George Arampatzis, Daniel Wälchli, 2020, PASC.

(μ,λ)-CCMA-ES for Constrained Optimization with an Application in Pharmacodynamics

Petros Koumoutsakos, Pascal Weber, Georgios Arampatzis, 2019, PASC.

Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics

Panagiotis Angelikopoulos, Petros Koumoutsakos, Stephen Wu, 2016, SIAM J. Sci. Comput..

Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification pdf

Petros Koumoutsakos, Sergio M. Martin, Georgios Arampatzis, 2020, ArXiv.

Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization

Petros Koumoutsakos, Georgios Arampatzis, Daniel Wälchli, 2020, Computer Methods in Applied Mechanics and Engineering.