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
443 papers
Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting
Ferdinand Bhavsar, Lionel Benoit, Maxime Savatier +1
The modeling of hydrometeorological time series with limited observations is a key challenge in the monitoring of hydro-systems and water resources, as well as for flood or drought…
EweAcT: Ewe behaviour aligned to accelerometer data for activity monitoring in extensive grazing systems
Lucile Riaboff, Ny Aina Andriamampandry, Jean-François Bompa +14
Monitoring livestock behaviour under extensive conditions would provide valuable insights to assess animal adaption to environmental perturbations in agroecological systems (e.g.,…
Collective alignment controls rotation frustration in granular flows of elongated particles
Antonio Pol, Riccardo Artoni, Patrick Richard
Dense granular flows made of elongated particles exhibit a strong inhibition of particle rotation compared to spherical grains, but the mechanisms responsible for this effect remai…
Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models
Gregory Beurier, Robin Reiter, Camille Noûs +2
Preprocessing screening is often the most expensive part of a near-infrared spectroscopy calibration workflow. It works because smoothing, derivatives, detrending and related filte…
A Top-Down Scale Approach for Multiscale Geographically and Temporally Weighted Regression
Ghislain Geniaux, César Martinez, Samuel Soubeyrand
This paper proposes tds mgtwr, a multiscale geographically and temporally weighted regression (MGTWR) model with covariate-specific spatial and temporal scales. The approach combin…
Genetic determinism of circadian rhythm of feed intake and relation with feed efficiency evaluated in group-housed growing Large White pigs
Lucile Riaboff, Ingrid David
Background Genetic parameters of feeding behaviours traits from electronic feeding stations in relation to feed efficiency have been widely explored. However, genetic determinism o…
Ferroelectric switching at edge dislocations in BaTiO modelled at the atomic scale
Himal Wijekoon, Pierre Hirel, Anna Grünebohm
Ferroelectric switching governs the functional properties of ferroelectric perovskites. It is widely accepted that this switching depends on domain nucleation and pinning and that…
Overcoming Barriers to Computational Reproducibility
Roman Hornung, László Németh, Oleksandr Zadorozhny +13
Computational reproducibility, the possibility for independent researchers to exactly reproduce published empirical results, is fundamental to science. Despite its importance, the…
A strictly geostrophic product of sea-surface velocities from the SWOT fast-sampling phase
Takaya Uchida, Badarvada Yadidya, Vadim Bertrand +4
While geostrophy remains the simplest and most practical balance to extract velocity information from sea-surface height anomaly (SSHa), confusions remain within the oceanographic…
Dynamic resource allocation in eukaryotic Resource Balance Analysis
Saeed Sadeghi Arjmand
Resource Balance Analysis (RBA) is a framework for predicting steady-state cellular growth under resource constraints. However, classical RBA formulations are static and do not cap…
The Domain Adaptation problem in photometric redshift estimation: a solution applied to the HSC Survey
M. Treyer, R. Ait-Ouahmed, S. Arnouts +5
The multi-band HSC-CLAUDS survey comprises several sky regions with varying observing conditions, only one of which, the COSMOS Ultra Deep Field (UDF), offers extensive redshift co…
Microclimatic variation in tropical canopies: A glimpse into the processes of community assembly in epiphytic bryophyte communities
Ting Shen, Richard T. Corlett, Flavien Collart +12
Epiphytic communities offer an original framework to disentangle the contributions of environmental filters, biotic interactions and dispersal limitations to community structure at…
Granular drag and lift force on a flexible fiber
Antonio Pol, Sara Storti, Fabio Gabrieli
In this work, we investigate the forces acting on a flexible fiber dragged through a granular bed. Using discrete element simulations, we observe that, after a sufficiently large d…
CropCraft: A Procedural World Generator for Robotic Simulation of Agricultural Tasks
Riccardo Bertoglio, Cyrille Pierre, Johann Laconte +1
The adoption of agroecological practices in modern agriculture requires robotic systems capable of operating in highly diverse and complex field environments. Developing and evalua…
Unsupervised Machine-Learning Pipeline for Data-Driven Defect Detection and Characterisation: Application to Displacement Cascades
Samuel Del Fré, Andrée de Backer, Christophe Domain +2
Neutron irradiation produces, within a few picoseconds, displacement cascades that are sequences of atomic collisions generating point and extended defects which subsequently affec…
Multi-modal Co-learning for Earth Observation: Enhancing single-modality models via modality collaboration
Francisco Mena, Dino Ienco, Cassio F. Dantas +2
Multi-modal co-learning is emerging as an effective paradigm in machine learning, enabling models to collaboratively learn from different modalities to enhance single-modality pred…
Adaptive and Multi-Source Entity Matching for Name Standardization of Astronomical Observation Facilities
Liza Fretel, Baptiste Cecconi, Laura Debisschop
This ongoing work focuses on the development of a methodology for generating a multi-source mapping of astronomical observation facilities. To compare two entities, we compute scor…
Fire severity and recovery across Europe: insights from forest diversity and landscape metrics
Eatidal Amin, Cassio F. Dantas, Dino Ienco +2
In recent decades, European forests have faced an increased incidence of fire disturbances. This phenomenon is likely to persist, given the rising frequency of extreme events expec…
Model-free algorithms for fast node clustering in SBM type graphs and application to social role inference in animals
Bertrand Cloez, Adrien Cotil, Jean-Baptiste Menassol +1
We propose a novel family of model-free algorithms for node clustering and parameter inference in graphs generated from the Stochastic Block Model (SBM), a fundamental framework in…
Modelling species distributions using remote sensing predictors: Comparing Dynamic Habitat Index and LULC
Maïri Souza Oliveira, Clémentine Préau, Samuel Alleaume +2
This study compares the predictive capacity of the Dynamic Habitat Index (DHI) - a remote sensing (RS)-based measure of habitat productivity and variability - against traditional l…
Catastrophic disruption of asteroid 2023 CX1 and implications for planetary defense
Auriane Egal, Denis Vida, François Colas +94
Mitigation of the threat from airbursting asteroids requires an understanding of the potential risk they pose for the ground. How asteroids release their kinetic energy in the atmo…
Predicted decline in common bird and butterfly species despite conservation policy scenarios in Europe
Stanislas Rigal, Maxime Lenormand, Léa Tardieu +33
In response to increasing threats to biodiversity, conservation objectives have been set to halt biodiversity decline by reducing direct anthropogenic drivers. However, the potenti…
Phase Transition for Stochastic Block Model with more than Communities
Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen
Predictions from statistical physics postulate that recovery of the communities in the Stochastic Block Model (SBM) with a fixed number of communities is possible in polynomial…
Low-degree lower bounds via almost orthonormal bases
Alexandra Carpentier, Simone Maria Giancola, Christophe Giraud +1
Low-degree polynomials have emerged as a powerful paradigm for providing evidence of statistical--computational gaps across a variety of high-dimensional statistical models [Wein25…