Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics. - Georgios Arampatzis; Daniel Wälchli; Panagiotis Angelikopoulos; Stephen Wu 001; Panagiotis E. Hadjidoukas; Petros Koumoutsakos (SIAM J. Sci. Comput., 2018)

(μ, λ)-CCMA-ES for Constrained Optimization with an Application in Pharmacodynamics. - Georgios Arampatzis; Daniel Wälchli; Pascal Weber 002; Henri Rästas; Petros Koumoutsakos (PASC, 2019)

Load Balancing in Large Scale Bayesian Inference. - Daniel Wälchli; Sergio M. Martin; Athena Economides; Lucas Amoudruz; Georgios Arampatzis; Xin Bian; Petros Koumoutsakos (PASC, 2020)

Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification. - Sergio M. Martin; Daniel Wälchli; Georgios Arampatzis; Petros Koumoutsakos (CoRR, 2020)

Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning. - Pascal Weber 002; Daniel Wälchli; Mustafa Zeqiri; Petros Koumoutsakos (CoRR, 2022)

Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning. - Daniel Wälchli; Pascal Weber 002; Petros Koumoutsakos (CoRR, 2023)

Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence. - Rambod Mojgani; Daniel Wälchli; Yifei Guan; Petros Koumoutsakos; Pedram Hassanzadeh (CoRR, 2023)