Mechanical models used for training & planning
Team Legato aims at building intuitive and interactive platforms for computational mechanics problems which allow the users to interact with their models and hence gain insights into unconventional and counter-intuitive phenomena.
Will be of interest to all of us @LegatoTeam in particular Lars Beex and Jack Hale along with Raphael Bulle and Hussein Rappel and of course the RAINBOW students @miladzerat and @Saurabh1715
Our new paper "A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments" introduces a new approach for designing Bayesian-Optimal experiments in far higher dimensions than previously possible.
Check it out here: https://arxiv.org/abs/1911.00294
Thanks for sharing @MarkGirolami @LegatoTeam @dce_journal
Applied Mathematics, Statistical Inference and Engineering Science all feature in this talk on The Statistical Finite Element Method @CSMLab @turinginst @RAEngNews @Cambridge_Eng @christs_college @RoyalStatSoc https://twitter.com/CCIMathInfo/status/1191673018826870784
September 9, 2019
TWINNING workshop in Luxembourg
For its second edition, the DRIVEN workshop will take place in Luxembourg the 11th and 12th of September 2019. The theme of the workshop will mostly talk about how to use digital twins from the medical field to dynamic simulations.
August 26, 2019
ERCIM “Alain Bensoussan” Fellowship Programme
ERCIM offers fellowships for PhD holders from all over the world. The next round is open! Deadline for applications: 30 September 2019. Topics cover most disciplines in Computer Science, Information Technology, and Applied Mathematics. Fellowships are of 12-month duration spent
May 17, 2019
IWR School 2019: “A Crash Course in Machine Learning with Applications in Natural- and Life Sciences (ML4Nature)”
We would like to bring to your attention our upcoming IWR School which will focus on machine learning with applications from Natural Sciences and Life Sciences. The school will take place from September 23 to 27, 2019, in Heidelberg, and
December 6, 2018
Michael Ortiz “Model-Free Data-Driven Computing”
It was a pleasure to welcome Michael Ortiz from the California Institute of Technology to give a seminar on the topic of “Model-Free Data-Driven Computing” at the University of Luxembourg. You can watch the entire seminar below. Abstract: We develop
May 19, 2018
Mock ERC panel at UL
Thank you very much to our guest panelists and to the ERC candidates.