298 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de LilleFR364 papers
- Centre National de la Recherche ScientifiqueFR257 papers
- École Centrale de LilleFR212 papers
- Centre de Recherche en InformatiqueFR203 papers
- Université Paris-SaclayFR74 papers
- Institut d'Astrophysique SpatialeFR64 papers
- Sorbonne UniversitéFR59 papers
- Institut de Recherche en Astrophysique et PlanétologieFR58 papers
- Université Paris CitéFR57 papers
- Université Paris Sciences et LettresFR53 papers
- Ludwig-Maximilians-Universität MünchenDE52 papers
- CEA Paris-SaclayFR51 papers
47 papers · 1 filter
The undiscovered ultra-diffuse galaxies of the Local Group
Oliver Newton, Arianna Di Cintio, Salvador Cardona-Barrero +6
Ultra-diffuse galaxies (UDGs) are attractive candidates to probe cosmological models and test theories of galaxy formation at low masses; however, they are difficult to detect beca…
Gas kinematics around filamentary structures in the Orion B cloud
Mathilde Gaudel, Jan H. Orkisz, Maryvonne Gerin +27
Understanding the initial properties of star-forming material and how they affect the star formation process is key. From an observational point of view, the feedback from young hi…
Euclid legacy science prospects
Jenny G. Sorce, Antonino Troja, Isaac Tutusaus
With the immense number of images, data, and sources that Euclid will deliver, the consortium will be in a unique position to create/provide/construct legacy catalogues. The latter…
Euclid in a nutshell
Antonino Troja, Isaac Tutusaus, Jenny G. Sorce
Euclid is a European Space Agency (ESA) mission designed to constrain the properties of dark energy and gravity via weak gravitational lensing and galaxy clustering. It will carry…
Euclid: performance on main cosmological parameter science
Isaac Tutusaus, Jenny G. Sorce, Antonino Troja
Euclid will observe 15 000 deg of the darkest sky, in regions free of contamination by light from our Galaxy and our Solar System. Three "Euclid Deep Fields" surveys covering a…
Side-Informed Steganography for JPEG Images by Modeling Decompressed Images
Jan Butora, Patrick Bas
Side-informed steganography has always been among the most secure approaches in the field. However, a majority of existing methods for JPEG images use the side information, here th…
Efficient sampling of non log-concave posterior distributions with mixture of noises
Pierre Palud, Pierre-Antoine Thouvenin, Pierre Chainais +2
This paper focuses on a challenging class of inverse problems that is often encountered in applications. The forward model is a complex non-linear black-box, potentially non-inject…
PG-Schema: Schemas for Property Graphs
Renzo Angles, Angela Bonifati, Stefania Dumbrava +18
Property graphs have reached a high level of maturity, witnessed by multiple robust graph database systems as well as the ongoing ISO standardization effort aiming at creating a ne…
Using Set Covering to Generate Databases for Holistic Steganalysis
Rony Abecidan, Vincent Itier, Jérémie Boulanger +2
Within an operational framework, covers used by a steganographer are likely to come from different sensors and different processing pipelines than the ones used by researchers for…
A Design Method of Distributed Algorithms via Discrete-time Blended Dynamics Theorem
Jeong Woo Kim, Jin Gyu Lee, Donggil Lee +1
We develop a discrete-time version of the blended dynamics theorem for the use of designing distributed computation algorithms. The blended dynamics theorem enables to predict the…
Linear Programs with Conjunctive Database Queries
Florent Capelli, Nicolas Crosetti, Joachim Niehren +1
In this paper, we study the problem of optimizing a linear program whose variables are the answers to a conjunctive query. For this we propose the language LP(CQ) for specifying li…
Locality-Preserving Minimal Perfect Hashing of k-mers
Giulio Ermanno Pibiri, Yoshihiro Shibuya, Antoine Limasset
Minimal perfect hashing is the problem of mapping a static set of distinct keys into the address space bijectively. It is well-known that bits are…
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
Sampling-based algorithms are classical approaches to perform Bayesian inference in inverse problems. They provide estimators with the associated credibility intervals to quantify…
Dealing with Unknown Variances in Best-Arm Identification
Marc Jourdan, Rémy Degenne, Emilie Kaufmann
The problem of identifying the best arm among a collection of items having Gaussian rewards distribution is well understood when the variances are known. Despite its practical rele…
Sneak peek at the tig sequences: useful sequences built from nucleic acid data
Camille Marchet
This manuscript is a tutorial on tig sequences that emerged after the name "contig", and are of diverse purposes in sequence bioinformatics. We review these different sequences (un…
Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): II. Code and real data proof of concept
Pierre-Antoine Thouvenin, Arwa Dabbech, Ming Jiang +4
In a companion paper, a faceted wideband imaging technique for radio interferometry, dubbed Faceted HyperSARA, has been introduced and validated on synthetic data. Building on the…
Hermeian haloes: extreme objects with two interactions in the past
Anastasiia Osipova, Sergey Pilipenko, Stefan Gottlöber +4
Recent studies based on numerical models of the Local Group predict the existence of field haloes and galaxies that have visited both the Milky Way and M31 in the past, called Herm…
Risk-aware linear bandits with convex loss
Patrick Saux, Odalric-Ambrym Maillard
In decision-making problems such as the multi-armed bandit, an agent learns sequentially by optimizing a certain feedback. While the mean reward criterion has been extensively stud…
One Year of DDoS Attacks Against a Cloud Provider: an Overview
Clément Boin, Xavier Guillaume, Gilles Grimaud +2
Distributed denial of service attacks represents one of the most important threats to cloud-providers. Over the years, volumetric DDoS attacks have become increasingly important an…
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks
Pierrick Pochelu, Serge G. Petiton, Bruno Conche
Ensembles of Deep Neural Networks (DNNs) have achieved qualitative predictions but they are computing and memory intensive. Therefore, the demand is growing to make them answer a h…
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters
Pierrick Pochelu, Serge G. Petiton, Bruno Conche
Automated Machine Learning with ensembling (or AutoML with ensembling) seeks to automatically build ensembles of Deep Neural Networks (DNNs) to achieve qualitative predictions. Ens…
Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
Michaël Fanuel, Rémi Bardenet
In this paper, we consider a -connection graph, that is, a graph where each oriented edge is endowed with a unit modulus complex number that is conjugated under orienta…
Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories
Naima Otberdout, Claudio Ferrari, Mohamed Daoudi +2
In this work, we address the problem of 4D facial expressions generation. This is usually addressed by animating a neutral 3D face to reach an expression peak, and then get back to…
Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection
Yujin WU, Mohamed Daoudi, Ali Amad +2
Existing multimodal stress/pain recognition approaches generally extract features from different modalities independently and thus ignore cross-modality correlations. This paper pr…