Évènements à venir

Séminaire de Wei HU – Vendredi 14 juin 10h00

Séminaire de Wei HU Date: vendredi 14 juin à 10h00 Lieu: CentraleSupelec, Bâtiment Eiffel, Amphi 4 Titre: Graph Spectral Processing and Analysis for 3D Point Clouds and Beyond Abstract: Geometric data acquired from real-world scenes, e.g., 2D depth images, 3D point clouds, and 4D dynamic point clouds, have found a wide range of applications including autonomous […]


Séminaires de Elio El Semaan et Borjan Geshkovski

13:40–14:00Title. Low Voltage Distribution System State Estimation using Graph Neural NetworksSpeaker. Elio El Semaan (L2S and GeePs)Abstract. Due to the rising penetration of distributed energy resources and electric vehicles charging stations, Distribution Systems Operators are facing higher challenges to effectively manage low voltage (LV) grids. To enhance the real-time monitoring of voltage magnitudes of these LV grids, the […]


UQSay #73

The seventy-third UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, May 16, 2024. 2–3 PM — Gaël Poette (CEA DAM, CESTA – ENSEIRB-MATMECA) — [slides] Building and solving reduced models for the uncertain linear Boltzmann equation (sometimes intrusiveness, a.k.a. physics-informedness, is worth it) In this talk, I will […]


UQSay #72

The seventy-second UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, April 25, 2024. 3–4 PM — John Jakeman (Sandia National Laboratories) — [slides] Surrogate Modeling for Efficiently, Accurately and Conservatively Estimating Measures of Risk This talk will present a surrogate-based framework for conservatively estimating risk from limited evaluations […]


Séminaires de Gabriel Velho et Jared Miller

13:40–14:00Title. A Gradient Descent-Ascent Method for Continuous-Time Risk-Averse Optimal ControlSpeaker. Gabriel Velho (L2S)Abstract. In this presentation, we consider continuous-time stochastic optimal control problems where the cost is evaluated through a coherent risk measure. We provide an explicit gradient descent-ascent algorithm which applies to problems subject to non-linear stochastic differential equations. We then formulate necessary conditions of optimality […]