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
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…
Stable crack propagation in dislocation-engineered oxide visualized by double cleavage drilled compression test
Oliver Preuß, Zhangtao Li, Enrico Bruder +4
Understanding crack tip - dislocation interaction is critical for improving the fracture resistance of semi-brittle materials like room-temperature plastically deformable ceramics.…
Scaling Neuro-symbolic Problem Solving: Solver-Free Learning of Constraints and Objectives
Marianne Defresne, Romain Gambardella, Sophie Barbe +1
In the ongoing quest for hybridizing discrete reasoning with neural nets, there is an increasing interest in neural architectures that can learn how to solve discrete reasoning or…
TimeSenCLIP: A Time Series Vision-Language Model for Remote Sensing
Pallavi Jain, Diego Marcos, Dino Ienco +2
Vision-language models (VLMs) have shown significant promise in remote sensing applications, particularly for land-use and land-cover (LULC) mapping via zero-shot classification an…
Deep learning of geometrical cell division rules
Alexandre Durrmeyer, Jean-Christophe Palauqui, Philippe Andrey
The positioning of new cellular walls during cell division plays a key role in shaping plant tissue organization. The influence of cell geometry on the positioning of division plan…
Computations Meet Experiments to Advance the Enzymatic Depolymerization of Plastics One Atom at a Time
Francesco Colizzi, Paula Blázquez-Sánchez, Giovanni Bussi +39
Plastics are essential to modern life, yet poor disposal practices contribute to low recycling rates and environmental accumulation-biological degradation and by-product reuse offe…
Computational barriers for permutation-based problems, and cumulants of weakly dependent random variables
Bertrand Even, Christophe Giraud, Nicolas Verzelen
In many high-dimensional problems,polynomial-time algorithms fall short of achieving the statistical limits attainable without computational constraints. A powerful approach to pro…
Structure analysis of the Lorenz-84 chaotic attractor
Martin Rosalie, Sylvain Mangiarotti
The structure of the Lorenz-84 attractor is investigated in this study. Its dynamics belonging to weakly dissipative chaos, classical approaches cannot be used to analyze its struc…
Digging deeper: deep joint species distribution modeling reveals environmental drivers of Earthworm Communities
Sara Si-moussi, Wilfried Thuiller, Esther Galbrun +6
Earthworms are key drivers of soil function, influencing organic matter turnover, nutrient cycling, and soil structure. Understanding the environmental controls on their distributi…
Identifiability and Observability Analysis for Epidemiological Models: Insights on the SIRS Model
Alicja B Kubik, Benjamin Ivorra, Alain Rapaport +1
The problems of observability and identifiability have been of great interest as previous steps to estimating parameters and initial conditions of dynamical systems to which some k…
Gaussian copula correlation network analysis with application to multi-omics data
Ekaterina Tomilina, Florence Jaffrézic, Gildas Mazo
Reconstructing gene regulatory networks from large-scale heterogeneous data is a key challenge in biology. In multi-omics data analysis, networks based on pairwise statistical asso…