177 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 ScientifiqueFR17 papers
- Université Toulouse III - Paul SabatierFR17 papers
- Centre de Recherches sur la Cognition AnimaleFR9 papers
- Université de ToulouseFR9 papers
- Laboratoire de Physique ThéoriqueFR6 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR6 papers
- Centre de Biologie du DéveloppementFR4 papers
- Institut de Recherche en Informatique de ToulouseFR4 papers
- Université Toulouse - Jean JaurèsFR4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- InsermFR3 papers
- Institut National Polytechnique de ToulouseFR3 papers
19 papers
Euclid preparation. 3D reconstruction of the cosmic web with simulated Euclid Deep spectroscopic samples
Euclid Collaboration, K. Kraljic, C. Laigle +321
The ongoing Euclid mission aims to measure spectroscopic redshifts for approximately two million galaxies using the H line emission detected in near-infrared slitless spectrosc…
Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making
Emmanuelle Claeys, Elena Kerjean, Jean-Michel Loubes
This work introduces MAYA, a sequential imitation learning model based on multi-armed bandits, designed to reproduce and predict individual bees' decisions in contextualized foragi…
Sketchpose: Learning to Segment Cells with Partial Annotations
Clément Cazorla, Nathanaël Munier, Renaud Morin +1
The most popular networks used for cell segmentation (e.g. Cellpose, Stardist, HoverNet,...) rely on a prediction of a distance map. It yields unprecedented accuracy but hinges on…
Stable soap bubble clusters with multiple torus bubbles
Fabrice Delbary
In the last two centuries and more particularly in the last decades, the geometry of foams has become an important research domain, in mathematics, physics, material sciences and b…
F-BIAS: Towards a distributed national core facility for Bioimage Analysis
Mélodie Ambroset, Marie Anselmet, Clément Benedetti +18
We discuss in this article the creation and organization of a national core facility for bioimage analysis, based on a distributed team. F-BIAS federates bioimage analysts across F…
A method for site-specifically tethering the enzyme urease to DNA origami with sustained activity
Ian Murphy, Keren Bobilev, Daichi Hayakawa +6
Attaching enzymes to nanostructures has proven useful to the study of enzyme functionality under controlled conditions and has led to new technologies. Often, the utility and inter…
Data-driven discovery of stochastic dynamical equations of collective motion
Arshed Nabeel, Vivek Jadhav, Danny Raj M +5
Coarse-grained descriptions of collective motion of flocking systems are often derived for the macroscopic or the thermodynamic limit. However, many real flocks are small sized (10…
Predicting the long-term collective behaviour of fish pairs with deep learning
Vaios Papaspyros, Ramón Escobedo, Alexandre Alahi +3
Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collectiv…
Bayesian Optimization of Sampling Densities in MRI
Alban Gossard, Frédéric de Gournay, Pierre Weiss
Data-driven optimization of sampling patterns in MRI has recently received a significant attention.Following recent observations on the combinatorial number of minimizers in off-th…
Are General Circulation Models obsolete?
V. Balaji, Fleur Couvreux, Julie Deshayes +3
Traditional general circulation models, or GCMs -- i.e. 3D dynamical models with unresolved terms represented in equations with tunable parameters -- have been a mainstay of climat…
ATP-driven separation of liquid phase condensates in bacteria
B. Guilhas, J. C. Walter, J. Rech +8
Liquid-liquid phase separated (LLPS) states are key to compartmentalise components in the absence of membranes, however it is unclear whether LLPS condensates are actively and spec…
Traveling pulse emerges from individuals coordinating their stop-and-go motion: a case study in sheep
Manon Azaïs, Stéphane Blanco, Richard Bon +3
Monitoring small groups of sheep in spontaneous evolution in the field, we decipher behavioural rules that sheep follow at the individual scale in order to sustain collective motio…
Addressing the gas kinetics Boltzmann equation with branching-path statistics
Guillaume Terrée, Mouna El Hafi, Stéphane Blanco +3
This article proposes a new statistical numerical method to address gas kinetics problems obeying the Boltzmann equation. This method is inspired from some Monte-Carlo algorithms u…
How social information can improve estimation accuracy in human groups
Bertrand Jayles, Hye-rin Kim, Ramón Escobedo +5
In our digital and connected societies, the development of social networks, online shopping, and reputation systems raises the question of how individuals use social information, a…
Disentangling and modeling interactions in fish with burst-and-coast swimming
Daniel S. Calovi, Alexandra Litchinko, Valentin Lecheval +5
We combine extensive data analyses with a modeling approach to measure, disentangle, and reconstruct the actual functional form of interactions involved in the coordination of swim…
Surfing on protein waves: proteophoresis as a mechanism for bacterial genome partitioning
Jean-Charles Walter, Jérôme Dorignac, Vladimir Lorman +6
Efficient bacterial chromosome segregation typically requires the coordinated action of a three-components, fueled by adenosine triphosphate machinery called the partition complex.…
Addressing nonlinearities in Monte Carlo
Jérémi Dauchet, Jean-Jacques Bezian, Stéphane Blanco +16
Monte Carlo is famous for accepting model extensions and model refinements up to infinite dimension. However, this powerful incremental design is based on a premise which has sever…
Joint reconstruction strategy for structured illumination microscopy with unknown illuminations
Simon Labouesse, Awoke Negash, Jérôme Idier +5
The blind structured illumination microscopy (SIM) strategy proposed in (Mudry et al., 1992) is fully re-founded in this paper, unveiling the central role of the sparsity of the il…
Optimal strategies for driving a mobile agent in a guidance by repulsion model
Ramón Escobedo, Aitziber Ibañez, Enrique Zuazua
We present a guidance by repulsion model based on a driver-evader interaction where the driver, assumed to be faster than the evader, follows the evader but cannot be arbitrarily c…