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:
- L2S (Univ. Paris-Saclay, CentraleSupélec, CNRS),
- LMPS (Univ. Paris-Saclay, CentraleSupélec, ENS Paris-Saclay, CNRS),
- PRISME (EDF R&D),
- DOTA (Univ. Paris-Saclay, ONERA),
- LISN (Univ. Paris-Saclay, CNRS),
- LMO (Univ. Paris-Saclay, CNRS)
- MIA-Paris (Univ. Paris-Saclay, AgroParisTech, INRAE)
- CEA (Univ. Paris-Saclay, CEA)
- and LNE (LNE)
The seminars are online (started in person, but have been online since UQSay #9), usually on Thursdays, 2–3 PM, Paris time.
Upcoming seminars
- UQSay #86 — May 15 — Johanna Ziegel
☞ (Conformal) isotonic distributional regression
Past seminars
- UQSay #85 — April 3 — Bilel Bensaid
☞ New insights in neural networks optimization: Lyapunov stability and splitting schemes - UQSay #84 — March 6 — Elena Di Bernardino
☞ Curvature measures for random excursion sets: theoretical and computational developments - UQSay #83 — February 13 — Margot Hérin
☞ Algorithms for learning capacity-based preference models - UQSay #82 — January 30 — Alexandros Taflanidis
☞ Reduced order and surrogate modeling applications for computationally efficient uncertainty propagation within seismic vulnerability assessment - UQSay #81 — January 23 — Congye Wang
☞ Reinforcement Learning for Adaptive MCMC - UQSay #80 — December 12 — Claire Boyer
☞ A primer on physics-informed learning - UQSay #79 — November 28 — Sam Allen
☞ Evaluating forecasts using positive definite kernels - UQSay #78 — November 14 — Botond Szabo
☞ Uncertainty quantification and estimation with variational Gaussian Processes - UQSay #77 — October 31 — Nadège Polette
☞ Mitigating Overconfidence in Bayesian Field Inversion thanks to Hyperparameters Sampling - UQSay #76 — October 17 (4 PM) — Habib Najm
☞ Uncertainty Quantification in Computational Combustion Models - UQSay #75 — October 3 — Olivier Laurent
☞ A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors - UQSay #74 — September 19 (3 PM) — Alexander Terenin
☞ Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent - UQSay #73 — May 16 — Gael Poette
☞ Building and solving reduced models for the uncertain linear Boltzmann equation (sometimes intrusiveness, a.k.a. physics-informedness, is worth it) - UQSay #72 — April 25 (3 PM) — John Jakeman
☞ Surrogate Modeling for Efficiently, Accurately and Conservatively Estimating Measures of Risk - UQSay #71 — March 21 — Morgane Menz
☞ Archissur: an Active Recovery of Constrained and Hidden Sets by SUR method. Coupling with adaptive space-filling and optimization - UQSay #70 — March 7 — Baptiste Kerleguer
☞ A Bayesian neural network approach to multi-fidelity surrogate modeling - UQSay #69 — February 8 — Marouane Il Idrissi
☞ Generalized Hoeffding decomposition and the linear nature of non-linearity - UQSay #68 — January 25 — Gabriel Sarazin
☞ Towards more interpretable kernel-based sensitivity analysis - UQSay #67 — December 14 — Pierre Humbert
☞ One-Shot Federated Conformal Prediction - UQSay #66 — November 30 — Elaine Spiller
☞ Two recent advances in UQ with Gaussian process models: the zGP and the PPLE - UQSay #65 — November 16 — Michael Jordan
☞ Prediction-Powered Inference - UQSay #64 — November 2 — Christoph Molnar & Timo Freiesleben
☞ Supervised Machine Learning in Science - UQSay #63 — October 19 — Stefania Fresca
☞ Deep learning-based reduced order models for the real-time approximation of parametrized PDEs - UQSay #62 — October 5 — Sibo Cheng
☞ Machine learning and data assimilation for high dimensional dynamical systems - UQSay #61 — June 8 — Sophie Ricci
☞ On the merits of using remote sensing Earth Observation data to reduce uncertainties in flood forecasting with ensemble-based data assimilation - UQSay #60 — May 25 — Stefano Fortunati
☞ Matched, mismatched and semiparametric inference in elliptical distributions - UQSay #59 — May 11 — Felix Schneider
☞ Sparse Bayesian Learning for Rational Polynomial Chaos Expansion and Application in Structural Dynamics - UQSay #58 — April 20 — Yingfan Wang
☞ Understanding principles for dimensionality reduction tools, and PaCMAP for data visualization - UQSay #57 — March 30 — Andrew Gordon Wilson
☞ Myths and Legends of Bayesian Deep Learning - UQSay #56 — March 16 — Paul Novello
☞ Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure - UQSay #55 — February 16 — Oindrila Kanjilal
☞ Reliability assessment of structural dynamic systems by importance sampling - UQSay #54 — February 2 — Brian Staber
☞ Quantitative performance evaluation of Bayesian neural networks - UQSay #53 — January 19 — Felipe Tobar
☞ Computationally-efficient initialisation of Gaussian processes: The generalised variogram method - UQSay #52 — January 5 — Georgios Karagannis
☞ Bayesian spanning treed co-kriging for high dimensional output emulation - UQSay #51 — November 17, 2022 — Cécile Mercadier
☞ Hoeffding–Sobol and Möbius decompositions for (tail-)dependence analysis - UQSay #50 — October 13, 2022 — Gilles Stoltz
☞ Multi-armed bandit problems: a statistical view, focused on lower bounds - UQSay #49 — September 29, 2022 — Jonas Latz
☞ Stochastic gradient descent in continuous time - UQSay #48 — June 2, 2022 — Valentin Resseguier
☞ Fast generation of prior for Bayesian estimation problems in fluid mechanics - UQSay #47 — May 19, 2022 — Mélanie Rochoux
☞ Assimilating fire front position and emulating boundary-layer flow simulations for wildland fire behavior ensemble prediction and reanalysis - UQSay #46 — April 21, 2022 — 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, 2022 — Nathalie Bartoli
☞ Bayesian optimization to solve mono- or multi-fidelity constrained black box problem - UQSay #44 — March 17, 2022 — 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, 2022 — D. Austin Cole
☞ Locally induced GPs for modelling large-scale simulations - UQSay #42 — February 3, 2022 — Pietro Congedo
☞ Optimization under uncertainty using quantile Bayesian regression - UQSay #41 — January 20, 2022 — Nora Lüthen
☞ Poincaré chaos expansions, derivative-based surrogates & SA - UQSay #40 — January 6, 2022 — Didier Dubois
☞ New uncertainty theories (The limited expressiveness of single probability measures) - UQSay #39 — December 16, 2021 — Gianni Franchi
☞ Encoding the latent posterior of Bayesian neural networks for UQ - UQSay #38 — December 2, 2021 — Luc Pronzato
☞ MMD, Bayesian integration & kernel herding for space-filling design - UQSay #37 — November 18, 2021 — Toni Karvonen
☞ Parameter estimation in GP regression for deterministic functions - UQSay #36 — November 4, 2021 — Thomas Santner
☞ Combined Physical and Computer Experiments for Bioengineering - UQSay #35 — October 21, 2021 — Polina Kirichenko
☞ Bayesian deep learning and subspace inference - UQSay #34 — October 7, 2021 — Elmar Plischke
☞ Optimal-transport-based sensitivity measures and their computation - UQSay #33 — July 1, 2021 — Iason Papaioannou
☞ Reliability sensitivity analysis with FORM - UQSay #32 — June 17, 2021 — Andreas Fichtner
☞ Probabilistic Full-Waveform Inversion - UQSay #31 — June 3, 2021 — Adrien Touboul
☞ UQ in graphs of functions through sample reweighting - UQSay #30 — May 20, 2021 — Clément Gauchy
☞ Information geometry & robustness analysis of UQ - UQSay #29 — May 6, 2021 — Stefano Mariani
☞ Online damage detection and model updating via proper orthogonal decomposition and recursive Bayesian filters - UQSay #28 — April 22, 2021 — Chris Oates
☞ Optimal Thinning of MCMC Output - UQSay #27 — April 1, 2021 — Julien Pelamatti
☞ Bayesian optimization of variable-size design space problems - UQSay #26 — March 18, 2021 — Amaya Nogales Gomez
☞ Incremental space-filling designs based on coverings and spacings - UQSay #25 — March 4, 2021 — Victor Picheny
☞ Benchmarking Bayesian optimisation - UQSay #24 — February 18, 2021 — Amandine Marrel
☞ ICSCREAM methodology - UQSay #23 — February 4, 2021 — Clémentine Prieur
☞ Global sensitivity analysis for SDE models - UQSay #22 — January 21, 2021 — Cédric Travelletti
☞ Implicit Update for Large-Scale Inversion under GP priors - UQSay #21 — January 7, 2021 — Christophe Denis
☞ Deep learning black boxes and simulation of complex phenomena - UQSay #20 — Decembre 17, 2020 — Bojana Rosic
☞ Model updating techniques for damage detection - UQSay #19 — December 3, 2020 — Álvaro Rollón de Pinedo
☞ Functional outlier detection - UQSay #18 — Novembre 19, 2020 — Eyke Hüllermeier
☞ Aleatoric and epistemic uncertainty in machine learning - UQSay #17 — November 5, 2020 — Luc Bonnet
☞ Robust certification by Optimal UQ - UQSay #16 — October 22, 2020 — Nicolas Bousquet
☞ Well-posed stochastic inversion - UQSay #15 — October 8, 2020 — Sebastian Schöps
☞ Uncertainty Quantification for Maxwell's eigenproblem based on isogeometric analysis and mode tracking - UQSay #14 — September 24, 2020 — Amélie Fau
☞ Alternative strategies for adaptive sampling for kriging metamodels - UQSay #13 — September 10, 2020 — Balázs Kégl
☞ DARMDN: Deep autoregressive mixture density nets for dynamical system modelling - UQSay #12 — July 9, 2020 — Roberto Miorelli
☞ Metamodels and Statistical Tools Applied to Non-destructive Testing Problems - UQSay #11 — June 25, 2020 — Guilhem Lavabre
☞ Dimension reduction and surrogate-modelling for uncertain auto-igniting flame simulations - UQSay #10 — June 11, 2020 — Guillaume Perrin
☞ Point process-based approaches for the reliability analysis of complex systems - UQSay #9 — May 28, 2020 — Ludovic Chamoin
☞ Real-time data assimilation and control on mechanical systems under uncertainties - UQSay #8 — February 27, 2020 — David Makowski
☞ The role of uncertainty analysis in biological invasion risk analysis - UQSay #8 — February 27, 2020 — Myriam Merad
☞ Considerations around the concepts of uncertainty, risk and decision making in safety, security, environment and health - UQSay #7 — January 16, 2020 — Bertrand Iooss
☞ Iterative estimation in uncertainty and sensitivity analysis - UQSay #7 — January 16, 2020 — Bruno Barracosa
☞ Bayesian Multi-objective Optimization with Noisy Evaluations using the Knowledge Gradient - UQSay #6 — November 28, 2019 — Zhiguo Zeng
☞ Remaining useful life prediction with imprecise and partial information: An evidential hidden Markov model-based approach - UQSay #6 — November 28, 2019 — Zicheng Liu
☞ Surrogate modeling based on resampled polynomial chaos expansions - UQSay #5 — October 31, 2019 — Gildas Mazo
☞ A tradeoff between explorations and repetitions in global sensitivity analysis for stochastic computer models - UQSay #5 — October 31, 2019 — Emmanuel Gobet
☞ Meta-model of a large credit risk portfolio in the Gaussian copula model - UQSay #4 — October 3, 2019 — Merlin Keller
☞ Bayesian calibration and validation of a numerical model: an overview - UQSay #4 — October 3, 2019 — Didier Clouteau
☞ Blending Physics-Based numerical simulations and seismic databases using Generative Adversarial Network (GAN) - UQSay #3 — June 13, 2019 — Alexandre Janon
☞ Consistency of Sobol indices with respect to stochastic ordering of input parameters — Global optimization using Sobol indices - UQSay #3 — June 13, 2019 — Pierre Barbillon
☞ Sensitivity analysis of spatio-temporal models describing nitrogen transfers, transformations and losses at the landscape scale - UQSay #2 — April 18, 2019 — Chu Mai
☞ Prediction of crack propagation kinetics through multipoint stochastic simulations of microscopic fields - UQSay #2 — April 18, 2019 — Olivier Le Maître
☞ Surrogate models and reduction methods for UQ and inference in large-scale models - UQSay #1 — March 21, 2019 — Mickaël Binois
☞ Heteroskedastic Gaussian processes for simulation experiments - UQSay #1 — March 21, 2019 — François Bachoc
☞ Gaussian process regression model for distribution inputs
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)
- Vincent Chabridon (EDF R&D)
- Amélie Fau (LMPS)
- Filippo Gatti (LMPS)
- Clément Gauchy (CEA)
- Bertrand Iooss (EDF R&D)
- Alexandre Janon (LMO)
- Sidonie Lefebvre (DOTA)
- Didier Lucor (LISN)
- Sébastien Petit (LNE)
- Emmanuel Vazquez (L2S)
- Xujia Zhu (L2S)
