216 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Office National d'Études et de Recherches AérospatialesFR23 papers
- Université Paris-SaclayFR17 papers
- Université de ToulouseFR9 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Département Physique, Instrumentation, Environnement et EspaceFR3 papers
- Institut de Recherche pour le DéveloppementFR3 papers
- Centre National d'Études SpatialesFR2 papers
- Département Matériaux et structuresFR2 papers
- École PolytechniqueFR2 papers
- GéoazurFR2 papers
- Laboratoire Traitement et Communication de l’InformationFR2 papers
23 papers
Energy-aware frugal Bayesian optimization
Gaston Plat, Paul Saves, Nathalie Bartoli +2
Modern design optimization frameworks aim first and foremost for models with the most accurate predictions without balancing computational overhead. It remains a reason why scaled…
Carpet-bombing patch: attacking a deep network without usual requirements
Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin +1
Although deep networks have shown vulnerability to evasion attacks, such attacks have usually unrealistic requirements. Recent literature discussed the possibility to remove or not…
Out-Of-Distribution Detection Is Not All You Need
Joris Guérin, Kevin Delmas, Raul Sena Ferreira +1
The usage of deep neural networks in safety-critical systems is limited by our ability to guarantee their correct behavior. Runtime monitors are components aiming to identify unsaf…
MICROSCOPE mission: final results of the test of the Equivalence Principle
Pierre Touboul, Gilles Métris, Manuel Rodrigues +44
The MICROSCOPE mission was designed to test the Weak Equivalence Principle (WEP), stating the equality between the inertial and the gravitational masses, with a precision of $10^{-…
HDDL 2.1: Towards Defining an HTN Formalism with Time
D. Pellier, H. Fiorino, M. Grand +2
Real world applications of planning, like in industry and robotics, require modelling rich and diverse scenarios. Their resolution usually requires coordinated and concurrent actio…
Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics
Jean-Luc Akian, Luc Bonnet, Houman Owhadi +1
This paper introduces algorithms to select/design kernels in Gaussian process regression/kriging surrogate modeling techniques. We adopt the setting of kernel method solutions in a…
MICROSCOPE Mission scenario, ground segment and data processing
Manuel Rodrigues, Pierre Touboul, Gilles Métris +9
Testing the Weak Equivalence Principle (WEP) to a precision of requires a quantity of data that give enough confidence on the final result: ideally, the longer the measu…
Concurrent multiscale analysis without meshing: Microscale representation with CutFEM and micro/macro model blending
Ehsan Mikaeili, Susanne Claus, Pierre Kerfriden
In this paper, we develop a novel unfitted multiscale framework that combines two separate scales represented by only one single computational mesh. Our framework relies on a mixed…
A cost-effective nonlinear extremum-preserving finite volume scheme for highly anisotropic diffusion on Cartesian grids, with application to radiation belt dynamics
Nour Dahmen, Jerome Droniou, Francois Rogier
We construct a new nonlinear finite volume (FV) scheme for highly anisotropic diffusion equations, that satisfies the discrete minimum-maximum principle. The construction relies on…
Interpolatory Methods for Generic BizJet Gust Load Alleviation Function
Charles Poussot-Vassal, Pierre Vuillemin, Olivier Cantinaud +1
The paper's main contribution concerns the use of interpolatory methods to solve end to end industrial control problems involving complex linear dynamical systems. More in details,…
Adaptive reconstruction of imperfectly-observed monotone functions, with applications to uncertainty quantification
L. Bonnet, J. -L. Akian, É. Savin +1
Motivated by the desire to numerically calculate rigorous upper and lower bounds on deviation probabilities over large classes of probability distributions, we present an adaptive…
The ElectroHydroDynamic force distribution in surface AC Dielectric Barrier Discharge actuators: do streamers dictate the ionic wind profiles?
Konstantinos Kourtzanidis, Guillaume Dufour, François Rogier
We show that the spatio-temporal ElectroHydroDynamic (EHD) force production in surface AC-Dielectric Barrier Discharge (AC-DBD) actuators is strongly influenced by both the streame…
An entropy stable high-order discontinuous Galerkin spectral element method for the Baer-Nunziato two-phase flow model
Frédéric Coquel, Claude Marmignon, Pratik Rai +1
In this work we propose a high-order discretization of the Baer-Nunziato two-phase flow model (Baer and Nunziato, Int. J. Multiphase Flow, 12 (1986), pp. 861-889) with closures for…
DISIR: Deep Image Segmentation with Interactive Refinement
Gaston Lenczner, Bertrand Le Saux, Nicola Luminari +2
This paper presents an interactive approach for multi-class segmentation of aerial images. Precisely, it is based on a deep neural network which exploits both RGB images and annota…
Backward Nonlinear Smoothing Diffusions
Brian D. O. Anderson, Adrian N. Bishop, Pierre Del Moral +1
We present a backward diffusion flow (i.e. a backward-in-time stochastic differential equation) whose marginal distribution at any (earlier) time is equal to the smoothing distribu…
Coronagraphic phase diversity through residual turbulence: performance study and experimental validation
Olivier Herscovici-Schiller, Jean-François Sauvage, Laurent M. Mugnier +2
Quasi-static aberrations in coronagraphic systems are the ultimate limitation to the capabilities of exoplanet imagers both ground-based and space-based. These aberrations - which…
The self-concordant perceptron is efficient on a sub-family feasibility instances
Adrien Chan-Hon-Tong
Strict linear feasibility or linear separation is usually tackled using efficient approximation/stochastic algorithms (that may even run in sub-linear times in expectation). Howeve…
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch +1
The Copernicus Sentinel-2 program now provides multispectral images at a global scale with a high revisit rate. In this paper we explore the usage of convolutional neural networks…
Fully Convolutional Siamese Networks for Change Detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images. Most notably, we propose two Siamese…
Multitask Learning for Large-scale Semantic Change Detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch +1
Change detection is one of the main problems in remote sensing, and is essential to the accurate processing and understanding of the large scale Earth observation data available th…
The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System
Maxime Ferrera, Julien Moras, Pauline Trouvé-Peloux +2
This paper presents a new underwater dataset acquired from a visual-inertial-pressure acquisition system and meant to be used to benchmark visual odometry, visual SLAM and multi-se…
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux +2
Depth estimation is of critical interest for scene understanding and accurate 3D reconstruction. Most recent approaches in depth estimation with deep learning exploit geometrical s…
Continuity of Pontryagin extremals with respect to delays in nonlinear optimal control
Bruno Hérissé, Riccardo Bonalli, Emmanuel Trélat
Consider a general nonlinear optimal control problem in finite dimension, with constant state and/or control delays. By the Pontryagin Maximum Principle, any optimal trajectory is…