The fifty-fourth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, February 2, 2023. 2–3 PM — Brian Staber (Safran Tech) — [slides] Quantitative performance evaluation of Bayesian neural networks Due to the growing adoption of deep neural networks in many fields of science and engineering, modeling and estimating […]
The fifty-third UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, January 19, 2023. 2–3 PM — Felipe Tobar (Initiative for Data & AI, Universidad de Chile) — [slides] Computationally-efficient initialisation of Gaussian processes: The generalised variogram method We present a computationally-efficient strategy to find the hyperparameters of a […]
The fifty-second UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, January 5, 2023. 2–3 PM — Georgios Karagiannis (Durham University) Bayesian spanning treed co-kriging for high dimensional output emulation We propose a new Bayesian emulator, called Bayesian spanning treed co-kriging, suitable to analyze computer models with non-stationary massive […]
The fifty-first UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, November 17, 2022. 2–3 PM — Cécile Mercadier (Institut Camille Jordan) — [slides] Hoeffding–Sobol and Möbius decompositions for (tail-)dependence analysis Methods to analyse dependence and tail dependence are well established. Using for instance the copula function or the […]
13h40–14h00 — Amphi Gaston Planté, B2.33 (L2S) An approach for safe learning-based Model Predictive Control Anas Makdesi (L2S) Abstract. In this talk, I will introduce a novel approach to safe learning-based Model Predictive Control (MPC) for nonlinear systems. The approach relies on computing from data sampled from a given system, two models. The first one […]
