Daniel Wälchli

According to our database, Daniel Wälchli authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning.

Daniel Wälchli, Pascal Weber, Petros Koumoutsakos

CoRR, 2023

2022

Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning.

Pascal Weber, Daniel Wälchli, Mustafa Zeqiri, Petros Koumoutsakos

CoRR, 2022

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

Load Balancing in Large Scale Bayesian Inference.

Daniel Wälchli, Sergio M. Martin, Athena Economides, Lucas Amoudruz, Georgios Arampatzis, Xin Bian, Petros Koumoutsakos

Proceedings of the PASC '20: Platform for Advanced Scientific Computing Conference, Geneva, Switzerland, June 29, 2020

2019

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

Georgios Arampatzis, Daniel Wälchli, Pascal Weber, Henri Rästas, Petros Koumoutsakos

Proceedings of the Platform for Advanced Scientific Computing Conference, 2019

2018

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

Georgios Arampatzis, Daniel Wälchli, Panagiotis Angelikopoulos, Stephen Wu, Panagiotis E. Hadjidoukas, Petros Koumoutsakos

SIAM J. Sci. Comput., 2018