Daniel Waelchli

Joined

May 2022

Names

Daniel Waelchli (Preferred)

,

Daniel Wälchli

Emails

****@ethz.ch (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

PhD student

ETHZ - ETH Zurich (ethz.ch)

2018 – 2023

MS student

ETHZ - ETH Zurich (ethz.ch)

2013 – 2016

Undergrad student

ETHZ - ETH Zurich (ethz.ch)

2010 – 2013

Advisors, Relations & Conflicts

No relations added

Expertise

Reinforcement Learning

Present

High Performance Computing

Present

Bayesian Inference

Present

Publications

Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning
Pascal Weber, Daniel Wälchli, Mustafa Zeqiri, Petros Koumoutsakos
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Load Balancing in Large Scale Bayesian Inference
Daniel Wälchli, Sergio M. Martin, Athena Economides, Lucas Amoudruz, Georgios Arampatzis, Xin Bian, Petros Koumoutsakos
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- PASC 2020
- Readers: Everyone
Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification
Sergio M. Martin, Daniel Wälchli, Georgios Arampatzis, Petros Koumoutsakos
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- CoRR 2020
- Readers: Everyone
(μ, λ)-CCMA-ES for Constrained Optimization with an Application in Pharmacodynamics
Georgios Arampatzis, Daniel Wälchli, Pascal Weber, Henri Rästas, Petros Koumoutsakos
- Published: 01 Jan 2019, Last Modified: 12 May 2023
- PASC 2019
- Readers: Everyone
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
- Published: 01 Jan 2018, Last Modified: 12 May 2023
- SIAM J. Sci. Comput. 2018
- Readers: Everyone

Co-Authors