183 citations
- École Normale Supérieure - PSLFR54 papers
- Centre National de la Recherche ScientifiqueFR47 papers
- InsermFR27 papers
- Université Paris Sciences et LettresFR22 papers
- Sorbonne UniversitéFR14 papers
- Département d'InformatiqueFR7 papers
- Laboratoire Kastler BrosselFR6 papers
- Université Paris CitéFR6 papers
- University of CambridgeGB5 papers
- Bernstein Center for Computational Neuroscience BerlinDE4 papers
- Collège de FranceFR4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR4 papers
87 papers
Adaptive Quality-Diversity Trade-offs for Large-Scale Batch Recommendation
Clémence Réda, Tomas Rigaux, Hiba Bederina +3
A core research question in recommender systems is to propose batches of highly relevant and diverse items, that is, items personalized to the user's preferences, but which also mi…
Embedding Learning on Multiplex Networks for Link Prediction
Orell Trautmann, Olaf Wolkenhauer, Clémence Réda
Over the past years, embedding learning on networks has shown tremendous results in link prediction tasks for complex systems, with a wide range of real-life applications. Learning…
Sharp condition for supercritical Galton-Watson processes with countable types
Mathilde André, Jean-Jil Duchamps
We investigate Kesten-Stigum-like results for multi-type Galton-Watson processes with a countable number of types in a general setting, allowing us in particular to consider proces…
Revealing Subtle Phenotypes in Small Microscopy Datasets Using Latent Diffusion Models
Anis Bourou, Biel Castaño Segade, Thomas Boyer +2
Identifying subtle phenotypic variations in cellular images is critical for advancing biological research and accelerating drug discovery. These variations are often masked by the…
Unsupervised detection and fitness estimation of emerging SARS-CoV-2 variants. Application to wastewater samples (ANRS0160)
Alexandra Lefebvre, Vincent Maréchal, Arnaud Gloaguen +3
Repeated waves of emerging variants during the SARS-CoV-2 pandemics have highlighted the urge of collecting longitudinal genomic data and developing statistical methods based on ti…
Voltage laws in nanodomains revealed by asymptotics and simulations of electro-diffusion equations
Frédéric Paquin-Lefebvre, Alejandro Barea Moreno, David Holcman
Characterizing the local voltage distribution within nanophysiological domains, driven by ionic currents through membrane channels, is crucial for studying cellular activity in mod…