479 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR192 papers
- Université Paris-SaclayFR78 papers
- Université de MontpellierFR75 papers
- AgroParisTechFR59 papers
- Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementFR56 papers
- Mathématiques, Informatique et Statistique pour l'Environnement et l'AgronomieFR44 papers
- Institut de Recherche pour le DéveloppementFR41 papers
- Institut National de la Recherche AgronomiqueMA39 papers
- Institut Agro MontpellierFR38 papers
- Institut national de recherche en sciences et technologies du numériqueFR38 papers
- Territoires, Environnement, Télédétection et Information SpatialeFR33 papers
- Université Grenoble AlpesFR32 papers
44 papers · 1 filter
Drawing a better understanding of flood quantiles from a bag
Christine Poulard, Renard Benjamin, Gonzalez-Sosa Enrique +1
The "100-year flood" is commonly used, for instance in newspapers, but flood hazard assessment is more complex than it seems. We first describe an animation entitled "bag of floods…
Significant four-phonon scattering and its heat transfer implications in crystalline GeSbTe
Kanka Ghosh, Andrzej Kusiak, Jean-Luc Battaglia
We systematically demonstrate the temperature-dependent thermal transport properties in crystalline GeSbTevia first-principles density functional theory-informed linear…
The operating diagram of a flocculation model in the chemostat and its dependence on the biological parameters
Radhouane Fekih-Salem, Tewfik Sari
In this paper, we consider a flocculation model in a chemostat where one species is present in two forms: planktonic and aggregated bacteria with the presence of a single resource.…
Bayesian estimation of a 1D hydrodynamic model in a tidal river: Application to the Lower Seine River, France
Mendez Rios, Jérôme Le Coz, Renard Benjamin +1
Monitoring water stage and discharge at hydrometric stations is essential for flood characterization and prediction. Continuous measurement is feasible for stage records, whereas d…
Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)
Sabrina Toro, Anna V Anagnostopoulos, Sue Bello +27
Background: Ontologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in…
Auto-encoding GPS data to reveal individual and collective behaviour
Saint-Clair Chabert-Liddell, Nicolas Bez, Pierre Gloaguen +2
We propose an innovative and generic methodology to analyse individual and collective behaviour through individual trajectory data. The work is motivated by the analysis of GPS tra…
Polymer conformation: genetic and environmental factors associated with this characteristic of glutenin in wheat grain
Gérard Branlard, Angelina D'orlando, Ayesha Tahir +4
Using asymmetric flow field flow fractionation, the polymer mass (Mw), gyration radius (Rw) and the polydispersity index (PI) of glutenin polymers (GPs) have been previously studie…
Approximate filtering via discrete dual processes
Guillaume Kon Kam King, Andrea Pandolfi, Marco Piretto +1
We consider the task of filtering a dynamic parameter evolving as a diffusion process, given data collected at discrete times from a likelihood which is conjugate to the marginal l…
When can a population spreading across sink habitats persist ?
Michel Benaim, Claude Lobry, Tewfik Sari +1
We consider populations with time-varying growth rates living in sinks. Each population, when isolated, would become extinct. Dispersal-induced growth (DIG) occurs when the populat…
The principal eigenvalue problem for a strongly anisotropic second-order elliptic operator
Nathanaël Boutillon
We consider an elliptic operator in which the second-order term is very small in one direction. In this regime, we study the behaviour of the principal eigenfunction and of the pri…
Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry
Liudmila Pishchagina, Gaetano Romano, Paul Fearnhead +2
The increasing volume of data streams poses significant computational challenges for detecting changepoints online. Likelihood-based methods are effective, but a naive sequential i…
CNN photometric redshifts in the SDSS at
M. Treyer, R. Ait-Ouahmed, J. Pasquet +3
We release photometric redshifts, reaching 0.7, for 14M galaxies at in the 11,500 deg of the SDSS north and south galactic caps. These estimates were inf…
Optimal rates for ranking a permuted isotonic matrix in polynomial time
Emmanuel Pilliat, Alexandra Carpentier, Nicolas Verzelen
We consider a ranking problem where we have noisy observations from a matrix with isotonic columns whose rows have been permuted by some permutation *. This encompasses many mo…
Gradient-free online learning of subgrid-scale dynamics with neural emulators
Hugo Frezat, Ronan Fablet, Guillaume Balarac +1
In this paper, we propose a generic algorithm to train machine learning-based subgrid parametrizations online, i.e., with loss functions, but for non-differ…
The strain on scientific publishing
Mark A. Hanson, Pablo Gómez Barreiro, Paolo Crosetto +1
Scientists are increasingly overwhelmed by the volume of articles being published. Total articles indexed in Scopus and Web of Science have grown exponentially in recent years; in…
A collinear-spin machine learned interatomic potential for FeCrNi alloy
Lakshmi Shenoy, Christopher D. Woodgate, Julie B. Staunton +4
We have developed a new machine learned interatomic potential for the prototypical austenitic steel FeCrNi, using the Gaussian approximation potential (GAP) framework.…
Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets
Chunchao Ma, Arthur Leroy, Mauricio Alvarez
Multi-output Gaussian processes (MOGPs) have been introduced to deal with multiple tasks by exploiting the correlations between different outputs. Generally, MOGPs models assume a…
Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data
Florie Bouvier, Etienne Peyrot, Alan Balendran +4
Identifying patients who benefit from a treatment is a key aspect of personalized medicine, which allows the development of individualized treatment rules (ITRs). Many machine lear…
Learning Regionalization using Accurate Spatial Cost Gradients within a Differentiable High-Resolution Hydrological Model: Application to the French Mediterranean Region
Ngo Nghi Truyen Huynh, Pierre-André Garambois, François Colleoni +5
Estimating spatially distributed hydrological parameters in ungauged catchments poses a challenging regionalization problem and requires imposing spatial constraints given the spar…
Prediction of sunflower leaf area at vegetative stage by image analysis and application to the estimation of water stress response parameters in post-registration varieties
Pierre Casadebaig, Nicolas Blanchet, Nicolas Bernard Langlade
The automatic measurement of developmental and physiological responses of sunflowers to water stress represents an applied challenge for a better knowledge of the varieties availab…
A Bayesian Framework for Multivariate Differential Analysis
Marie Chion, Arthur Leroy
Differential analysis is a routine procedure in the statistical analysis toolbox across many applied fields, including quantitative proteomics, the main illustration of the present…
Active Ranking of Experts Based on their Performances in Many Tasks
El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier
We consider the problem of ranking n experts based on their performances on d tasks. We make a monotonicity assumption stating that for each pair of experts, one outperforms the ot…
Emergence of tip singularities in dissolution patterns
Martin Chaigne, Sabrina Carpy, Marion Massé +3
Chemical erosion, one of the two major erosion processes along with mechanical erosion, occurs when a soluble rock like salt, gypsum or limestone is dissolved in contact with a wat…
Covariance Adaptive Best Arm Identification
El Mehdi Saad, Gilles Blanchard, Nicolas Verzelen
We consider the problem of best arm identification in the multi-armed bandit model, under fixed confidence. Given a confidence input , the goal is to identify the arm with the h…