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Publications

Affichage des publications 431 à 440 sur 4082 au total

Artificial Intelligence

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors

The distribution of modern deep neural networks (DNNs) weights - crucial for uncertainty quantification and robustness - is an eminently complex object due to its extremely high dimensionality. This paper proposes one of the first large-scale…

Olivier Laurent, Emanuel Aldea, Gianni Franchi

12th International Conference on Learning Representations. ICLR 2024 -

Statistics

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression

Uncertainty quantification is critical for deploying deep neural networks (DNNs) in real-world applications. An Auxiliary Uncertainty Estimator (AuxUE) is one of the most effective means to estimate the uncertainty of the main task prediction…

Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea

38th AAAI Conference on Artificial Intelligence (AAAI-24) -

Signal and Image processing

A comparison of antenna placement criteria based on the Cramér–Rao and Barankin bounds for radio interferometer arrays

In this paper, we consider the problem of antenna placement for radio interferometer arrays. In this type of applications, signal-to-noise ratios (SNR) are typically low, and possibly lower than a SNR threshold under which the estimation performance…

Jianhua Wang, Lucien Bacharach, Pascal Larzabal, Mohammed Nabil El Korso

Signal Processing -

Signal and Image processing

On the False Alarm Probability of the Normalized Matched Filter for off-grid targets: A geometrical approach and its validity conditions

Off-grid targets are known to induce a mismatch that dramatically impacts the detection probability of the popular Normalized Matched Filter. To overcome this problem, the unknown target parameter is usually estimated through a Maximum Likelihood…

Pierre Develter, Jonathan Bosse, Olivier Rabaste, Philippe Forster, Jean-Philippe Ovarlez

IEEE Transactions on Signal Processing -

Instrumentation and Methods for Astrophysic

Regularized maximum likelihood estimation for radio interferometric imaging in the presence of radiofrequency interefences

We consider a regularized Maximum Likelihood Estimation (MLE) framework to produce images in the context of radio interferometric measurements. Specifically, we consider the class of compound Gaussian distributions to model the additive noise in the…

Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy, Pascal Larzabal

Signal Processing -

Electric power

Apport des convertisseurs multiniveaux modulaires aux véhicules électriques

Cet article expose le fonctionnement d’un véhicule électrique à batterie actuel, en particulier sa chaine de traction, et s’intéresse à une structure innovante fusionnant les batteries avec l’étage de conversion DC-AC pour créer un convertisseur…

Gaël Pongnot, Anatole Desreveaux, Clement Mayet, Denis Labrousse, Francis Roy, Thomas Peuchant

La Revue 3E.I -

Electromagnetism

AC motor impedance predictive modeling methodology taking into account windings variability

This paper presents a unified predictive modeling for common-mode (CM) and differential-mode (DM) impedance estimation of a Permanent Magnet Synchronous Motor (PMSM). This methodology combines 2D Finite Element modeling and generated lumped…

Arthur Piat, Pierre-Etienne Lévy, Sami Hlioui, François Costa, Sébastien Serpaud

Science and Technology for Energy Transition -

Engineering Sciences

In-situ experimental investigations to study the impact of mechanical compression on the PEMFC - analysis of the global cell performance

An appropriate clamping pressure is required to ensure the gas-tight operation of a PEMFC assembly and to improve the contacts (i.e. mechanical, thermal, electrical) between its components. However, an excessive mechanical load may also worsen the…

El Mahdi Khetabi, Khadidja Bouziane, Xavier François, Remy Lachat, Yann Meyer, Denis Candusso

International Journal of Hydrogen Energy -

Electromagnetism

Influence of plastic shear strain on the magnetic behaviour of pure iron

The effect of plastic strain on magnetic behaviour was studied earlier by many authors. These studies mainly focused on plastic straining obtained by tensile testing and on magnetic measurement along the tensile axis. We present in this paper some…

Z. Maazaz, Olivier de La Barrière, Olivier Hubert

Journal of Magnetism and Magnetic Materials -

Engineering Sciences

Kalman filter for radio astronomy dynamic imaging based on empirical covariances

Traditional Kalman filters are not immediately suitable for the estimation of state parameters with sample covariance matrices as observations. This comes from the fact that the observations must be first expressed as a linear function of sample…

Cyril Cano, Éric Chaumette, Pascal Larzabal, Mohammed Nabil EL KORSO, Isabelle Vin

IEEE Aerospace Conference -