UQSay is a series of seminars on the broad area of Uncertainty Quantification (UQ), Design and Analysis of Computer Experiments (DACE), and related topics.
It is organized by a merry gathering of people from:
Upcoming seminars
- UQSay #52 — December 15 — Brian Staber
☞ Quantitative performance evaluation of Bayesian neural networks
Past seminars
- UQSay #51 — November 17 — Cécile Mercadier
☞ Hoeffding–Sobol and Möbius decompositions for (tail-)dependence analysis - UQSay #50 — October 13 — Gilles Stoltz
☞ Multi-armed bandit problems: a statistical view, focused on lower bounds - UQSay #49 — September 29 — Jonas Latz
☞ Stochastic gradient descent in continuous time - UQSay #48 — June 2 — Valentin Resseguier
☞ Fast generation of prior for Bayesian estimation problems in fluid mechanics - UQSay #47 — May 19 — Mélanie Rochoux
☞ Assimilating fire front position and emulating boundary-layer flow simulations for wildland fire behavior ensemble prediction and reanalysis - UQSay #46 — April 21 — Antoine Ajenjo
☞ Robustness assessment of reliability-oriented quantities of interest for the safety of industrial structures using the info-gap framework - UQSay #45 — March 31 — Nathalie Bartoli
☞ Bayesian optimization to solve mono- or multi-fidelity constrained black box problem - UQSay #44 — March 17 — Nicola Pedroni
☞ Quantification of mixed aleatory and epistemic uncertainties for robust design optimization, in the presence of scarce and functional data - UQSay #43 — February 17 — D. Austin Cole
☞ Locally induced GPs for modelling large-scale simulations - UQSay #42 — February 3 — Pietro Congedo
☞ Optimization under uncertainty using quantile Bayesian regression - UQSay #41 — January 20 — Nora Lüthen
☞ Poincaré chaos expansions, derivative-based surrogates & SA - UQSay #40 — January 6 — Didier Dubois
☞ New uncertainty theories (The limited expressiveness of single probability measures) - UQSay #39 — December 16 — Gianni Franchi
☞ Encoding the latent posterior of Bayesian neural networks for UQ - UQSay #38 — December 2 — Luc Pronzato
☞ MMD, Bayesian integration & kernel herding for space-filling design - UQSay #37 — November 18 — Toni Karvonen
☞ Parameter estimation in GP regression for deterministic functions - UQSay #36 — November 4 — Thomas Santner
☞ Combined Physical and Computer Experiments for Bioengineering - UQSay #35 — October 21 — Polina Kirichenko
☞ Bayesian deep learning and subspace inference - UQSay #34 — October 7 — Elmar Plischke
☞ Optimal-transport-based sensitivity measures and their computation - UQSay #33 — July 1 — Iason Papaioannou
☞ Reliability sensitivity analysis with FORM - UQSay #32 — June 17 — Andreas Fichtner
☞ Probabilistic Full-Waveform Inversion - UQSay #31 — June 3 — Adrien Touboul
☞ UQ in graphs of functions through sample reweighting - UQSay #30 — May 20 — Clément Gauchy
☞ Information geometry & robustness analysis of UQ - UQSay #29 — May 6 — Stefano Mariani
☞ Online damage detection and model updating via proper orthogonal decomposition and recursive Bayesian filters - UQSay #28 — April 22 — Chris Oates
☞ Optimal Thinning of MCMC Output - UQSay #27 — April 1 — Julien Pelamatti
☞ Bayesian optimization of variable-size design space problems - UQSay #26 — March 18 — Amaya Nogales Gomez
☞ Incremental space-filling designs based on coverings and spacings - UQSay #25 — March 4 — Victor Picheny
☞ Benchmarking Bayesian optimisation - UQSay #24 — February 18 — Amandine Marrel
☞ ICSCREAM methodology - UQSay #23 — February 4 — Clémentine Prieur
☞ Global sensitivity analysis for SDE models - UQSay #22 — January 21 — Cédric Travelletti
☞ Implicit Update for Large-Scale Inversion under GP priors - UQSay #21 — January 7 — Christophe Denis
☞ Deep learning black boxes and simulation of complex phenomena - UQSay #20 — Decembre 17 — Bojana Rosic
☞ Model updating techniques for damage detection - UQSay #19 — December 3 — Álvaro Rollón de Pinedo
☞ Functional outlier detection - UQSay #18 — Novembre 19 — Eyke Hüllermeier
☞ Aleatoric and epistemic uncertainty in machine learning - UQSay #17 — November 5 — Luc Bonnet
☞ Robust certification by Optimal UQ - UQSay #16 — October 22 — Nicolas Bousquet
☞ Well-posed stochastic inversion
All seminars
Full announcements of past and future seminars are available: here.
Organizing committee
- Pierre Barbillon (MIA-Paris)
- Julien Bect (L2S)
- Nicolas Bousquet (EDF R&D)
- Amélie Fau (LMPS)
- Filippo Gatti (LMPS)
- Bertrand Iooss (EDF R&D)
- Alexandre Janon (LMO)
- Sidonie Lefebvre (DOTA)
- Didier Lucor (LISN)
- Emmanuel Vazquez (L2S)
