Évènements / S3

S3 Seminar
Évènements à venir

Deep learning solutions to estimation and detection

Speaker — Ami Wiesel (Hebrew University of Jerusalem) Abstract — In this talk, we will discuss the use of deep learning in statistical signal processing. We will address settings in which the classical solutions are intractable and will propose modern approaches based on neural networks. We will begin with parameter estimation and focus on learning […]

17/10/2022

Towards GNSS High Precision Navigation: Manifolds and Robust Statistics

Speaker — Daniel Medina (Institute of Communications and Navigation, German Aerospace Center) Abstract — Navigation information is an essential element for the operation of robotics platforms and intelligent transportation systems. Global Navigation Satellite Systems (GNSS) have established as the cornerstone for outdoor navigation, providing all-weather, all-time positioning and timing at a worldwide scale. The use […]

12/07/2022

Probabilistic PCA for heterogeneous-quality data

Speaker — David Hong (Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, US) Abstract — Principal component analysis (PCA) is a workhorse method for identifying low-dimensional (i.e., low-rank) structure in noisy data and is ubiquitous in signal processing. However, it estimates the underlying low-rank structure sub-optimally when the samples have heterogeneous quality, […]

12/05/2022

UQSay #46

The forty-sixth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, April 21, 2022. 2–3 PM — Antoine Ajenjo (EDF R&D, FEMTO-ST) — [slides] Robustness assessment of reliability-oriented quantities of interest for the safety of industrial structures using the info-gap framework Structural reliability is of particular interest for risk-sensitive […]

21/04/2022

UQSay #42

The forty-second UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, February 3, 2022. 2–3 PM — Pietro Congedo (Inria, CMAP, Ecole Polytechnique, IPP) — [slides] Optimization under Uncertainty of Large Dimensional Problems using Quantile Bayesian Regression Robust optimization strategies typically aim at minimizing some statistics of the uncertain […]

03/02/2022