UQLab - The Uncertainty Quantification Framework - v.1.2 now available linkedin.com/pulse/uqlab-un… via LinkedIn

Our paper "Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework" in online. Congratulations to Moustapha Maliki for this landmark contribution to #UQ RBDO! See rdcu.be/bBlBX . A #UQLab module is coming !

UQLab V1.3 released on September 19: new powerful modules for statistical inference (vine copulas) and reliability-based design optimization. Congratulations to Stefano Marelli @ Emiliano Torre and Maliki Moustapha! uqlab.com linkedin.com/pulse/uqlab-un…

AddThis | Home authors.elsevier.com/a/1a47a3OQ~fPN…

UQWorld, the community platform on #uncertainty quantification is now running: uqworld.org. For more details, have a look at linkedin.com/pulse/uqworld-…

Uncertainty quantification & sensitivity analysis in atmospheric chemistry: an excellent collaboration between environmental scientists ETH Zurich and our group! Congratulations to Ari, Moustapha, Lenny, Andrea and Thomas

Two papers (out of five) in the new issue of the International Journal for Uncertainty Quantification: one on stochastic simulators, one on surrogate models in high dimensions. Congratulations to the co-authors! doi.org/10.1615/Int.J.…

The #GREYDIENT European Innovative Training Network (ITN) on grey-box modelling and applications to reliable design and monitoring of complex systems has been approved. Congratulations to the Consortium led by @LeuvenU and the ETH Zurich team!

The pandemic has brought computer modeling to the public's attention. This comment in nature, whose authors include ISSUES editor-in-chief Dan Sarewitz, identifies 5 principles on how to #ModelResponsibly: nature.com/articles/d4158…

Excellent paper that explains the key issues to proper modelling in an uncertain world. What is missing: all the tools to carry out these uncertainty and sensitivity analysis are now mature and available in different platforms ! (incl. #UQLab, see uqlab.com)

Congratulations to Stefano Marelli for this excellent joint work with @IASS_Potsdam . Yet another great application of UQ, surrogate models and sensitivity analysis!

#UQLab 3000-th registered user is a master's student in Civil and Environmental Engineering at the University of Sharjah (United Arab Emirates). After 5 years of existence, the UQLab community keeps growing! Keep in touch on uqworld.org !

Our group opens a PhD position on "Surrogate modelling for uncertainty quantification in offshore wind turbine design". Details here: jobs.ethz.ch/job/view/JOPG_… Happy New Year!!

Happy to announce that our research group is the 4th most cited in 2020 for "Uncertainty Quantification", according to Google Scholar. Congratulations to all the PhDs, postdocs and senior scientists that contributed to this great success ! scholar.google.com/citations?view…

UQLab V.1.4 was released on February 1st! Congratulations to the Dev Team led by Stefano Marelli for the release. Among others, two brand new modules: Active learning-based reliability analysis and the High-performance computing Dispatcher. More details on uqlab.com/features

Happy to announce the release of UQ[Py]Lab, a python, cloud-based version of UQLab, our software for uncertainty quantification. You are invited to join the beta testing phase of this service by registering at the website: uqpylab.uq-cloud.io

Check our last paper on global sensitivity analysis for stochastic models, with applications in mathematical finance and epidemiology. Congrats to Xujia Zhu! doi.org/10.1016/j.ress…

Congratulations to Nora Lüthen and Stefano Marelli for the comprehensive review and benchmark on sparse polynomial chaos expansions, just published by the SIAM/ASA Journal on Uncertainty Quantification. epubs.siam.org/doi/10.1137/20…

Congratulations to Maliki Moustapha and Stefano Marelli for their recent paper in Structural Safety on active learning methods for reliability analysis! More details here: sciencedirect.com/science/articl…

UQLab V2.0, ETH Zurich uncertainty quantification software, has been released on February 1st! It is now fully open source, i.e. available for free to anybody. Congrats to Stefano Marelli for leading the dev team! Check our new modules at uqlab.com/features