no code implementations • 16 Feb 2023 • Steeven Janny, Aurélien Béneteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf
To perform future forecasting of pressure and velocity on the challenging EAGLE dataset, we introduce a new mesh transformer.
no code implementations • 19 Apr 2022 • Steeven Janny, Quentin Possamai, Laurent Bako, Madiha Nadri, Christian Wolf
The identification of a nonlinear dynamic model is an open topic in control theory, especially from sparse input-output measurements.
no code implementations • ICLR 2022 • Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf
Learning causal relationships in high-dimensional data (images, videos) is a hard task, as they are often defined on low dimensional manifolds and must be extracted from complex signals dominated by appearance, lighting, textures and also spurious correlations in the data.
no code implementations • NeurIPS 2021 • Corentin Kervadec, Christian Wolf, Grigory Antipov, Moez Baccouche, Madiha Nadri
Methods for Visual Question Anwering (VQA) are notorious for leveraging dataset biases rather than performing reasoning, hindering generalization.
1 code implementation • 23 Mar 2021 • Steeven Janny, Vincent Andrieu, Madiha Nadri, Christian Wolf
Building on this formulation and problem definition, we propose a predictor structure based on the Kazantzis-Kravaris/Luenberger (KKL) observer and we show that KKL fits well into our general framework.