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Korali: Efficient and Scalable Software Framework for Bayesian
  Uncertainty Quantification and Stochastic Optimization
v1v2 (latest)

Korali: Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization

Computer Methods in Applied Mechanics and Engineering (CMAME), 2020
27 May 2020
Sergio M. Martin
Daniel Wälchli
G. Arampatzis
Athena Economides
Petr Karnakov
Petros Koumoutsakos
ArXiv (abs)PDFHTML

Papers citing "Korali: Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization"

6 / 6 papers shown
Controlling Topological Defects in Polar Fluids via Reinforcement Learning
Controlling Topological Defects in Polar Fluids via Reinforcement Learning
Abhinav Singh
Petros Koumoutsakos
AI4CE
194
0
0
25 Jul 2025
Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss
Optimal Navigation in Microfluidics via the Optimization of a Discrete LossPhysical Review Letters (PRL), 2025
Petr Karnakov
Lucas Amoudruz
Petros Koumoutsakos
215
6
0
18 Jun 2025
High Throughput Training of Deep Surrogates from Large Ensemble Runs
High Throughput Training of Deep Surrogates from Large Ensemble RunsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Lucas Meyer
M. Schouler
R. Caulk
Alejandro Ribés
Bruno Raffin
AI4CE
245
7
0
28 Sep 2023
Discovering Individual Rewards in Collective Behavior through Inverse
  Multi-Agent Reinforcement Learning
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning
Daniel Waelchli
Pascal Weber
Petros Koumoutsakos
AI4CE
313
4
0
17 May 2023
UQpy v4.1: Uncertainty Quantification with Python
UQpy v4.1: Uncertainty Quantification with PythonSoftwareX (SoftwareX), 2023
Dimitrios Tsapetis
Michael D. Shields
Dimitris G. Giovanis
Audrey Olivier
Lukás Novák
...
Mohit Chauhan
Katiana Kontolati
Lohit Vandanapu
Dimitrios Loukrezis
Michael Gardner
GP
270
18
0
16 May 2023
Using Spectral Submanifolds for Nonlinear Periodic Control
Using Spectral Submanifolds for Nonlinear Periodic ControlIEEE Conference on Decision and Control (CDC), 2022
Florian Mahlknecht
J. I. Alora
Shobhit Jain
Edward Schmerling
Riccardo Bonalli
George Haller
Marco Pavone
282
7
0
14 Sep 2022
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