7 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Laboratoire Hubert CurienFR13 papers
- Université LavalCA4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Université Jean MonnetFR3 papers
- Innate Pharma (France)FR2 papers
- Airbus (France)FR1 paper
- Artificial Intelligence Research InstituteES1 paper
- Centre de Recherche Astrophysique de LyonFR1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
- École Nationale Supérieure de Mécanique et des MicrotechniquesFR1 paper
- Institut de Recherche en Informatique de ToulouseFR1 paper
- Institut d’Optique Graduate SchoolFR1 paper
16 papers
Rectangular empty waveguide transition for realizing an electromagnetic jet based measuring device
Antoine Deubaibe, Salvador Ndouwe, Baraka Mahamout Mahamat +2
Spheres, cylinders, cones, cuboids have been used in the literature to generate photonic jets at the back of these structures when illuminated by plane waves. We are working on the…
Electromagnetic jet for characterization applications
Ali Ghaddar, Sanae Touil, B. Sauviac +1
This comparative study allows to evaluate the performance of an electromagnetic jet to determine the electromagnetic response of materials, without being in usual far field conditi…
Properties of optical ducts, their chromatism and its effects on astronomical refraction
Luc Dettwiller
The fundamental quadrature governing light rays in a spherically symmetrical medium is first recalled. A rigorous discussion of some qualitative properties of its solutions follows…
Short review on the refractive index of air as a function of temperature, pressure, humidity and ionization
Luc Dettwiller
The empirical law of Gladstone-Dale is insufficient for high-precision studies using the refractivity of a gas: this is not exactly proportional to its density, and the gas may not…
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
Paul Viallard, Pascal Germain, Amaury Habrard +1
In the PAC-Bayesian literature, the C-Bound refers to an insightful relation between the risk of a majority vote classifier (under the zero-one loss) and the first two moments of i…
A PAC-Bayes Analysis of Adversarial Robustness
Paul Viallard, Guillaume Vidot, Amaury Habrard +1
We propose the first general PAC-Bayesian generalization bounds for adversarial robustness, that estimate, at test time, how much a model will be invariant to imperceptible perturb…
A General Framework for the Practical Disintegration of PAC-Bayesian Bounds
Paul Viallard, Pascal Germain, Amaury Habrard +1
PAC-Bayesian bounds are known to be tight and informative when studying the generalization ability of randomized classifiers. However, they require a loose and costly derandomizati…
The wavefront sensing making-of for THEMIS solar telescope
Michel Tallon, Éric Thiébaut, Maud Langlois +5
An adaptive optics system with a single deformable mirror is being implemented on the THEMIS 90cm solar telescope. This system is designed to operate in the visible and is required…
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting
Léo Gautheron, Pascal Germain, Amaury Habrard +3
We propose a Gradient Boosting algorithm for learning an ensemble of kernel functions adapted to the task at hand. Unlike state-of-the-art Multiple Kernel Learning techniques that…
DVFS as a Security Failure of TrustZone-enabled Heterogeneous SoC
El Mehdi Benhani, Lilian Bossuet
Today, most embedded systems use Dynamic Voltage and Frequency Scaling (DVFS) to minimize energy consumption and maximize performance. The DVFS technique works by regulating the im…
Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems
Jesús Cerquides, Rémi Emonet, Gauthier Picard +1
In the context of solving large distributed constraint optimization problems (DCOP), belief-propagation and approximate inference algorithms are candidates of choice. However, in g…
An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context
Pascal Germain, Amaury Habrard, Francois Laviolette +1
This paper provides a theoretical analysis of domain adaptation based on the PAC-Bayesian theory. We propose an improvement of the previous domain adaptation bound obtained by Germ…
On Generalizing the C-Bound to the Multiclass and Multi-label Settings
Francois Laviolette, Emilie Morvant, Liva Ralaivola +1
The C-bound, introduced in Lacasse et al., gives a tight upper bound on the risk of a binary majority vote classifier. In this work, we present a first step towards extending this…
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling
Emilie Morvant
In machine learning, the domain adaptation problem arrives when the test (target) and the train (source) data are generated from different distributions. A key applied issue is thu…
On the Generalization of the C-Bound to Structured Output Ensemble Methods
François Laviolette, Emilie Morvant, Liva Ralaivola +1
This paper generalizes an important result from the PAC-Bayesian literature for binary classification to the case of ensemble methods for structured outputs. We prove a generic ver…
Majority Vote of Diverse Classifiers for Late Fusion
Emilie Morvant, Amaury Habrard, Stéphane Ayache
In the past few years, a lot of attention has been devoted to multimedia indexing by fusing multimodal informations. Two kinds of fusion schemes are generally considered: The early…