330 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 ScientifiqueFR67 papers
- Mathématiques Appliquées à Paris 5FR54 papers
- Sorbonne Paris CitéFR25 papers
- Université Paris CitéFR17 papers
- Délégation Paris 5FR9 papers
- Laboratoire Psychologie de la PerceptionFR9 papers
- Sorbonne UniversitéFR9 papers
- Université Paris DiderotFR9 papers
- InsermFR8 papers
- Université Pierre-et-Marie-CurieFR8 papers
- École Normale Supérieure - PSLFR7 papers
- Université Paris NanterreFR7 papers
21 papers · 1 filter
Regression modelling of interval censored data based on the adaptive ridge procedure
Olivier Bouaziz, Eva Lauridsen, Grégory Nuel
A new method for the analysis of time to ankylosis complication on a dataset of replanted teeth is proposed. In this context of left-censored, interval-censored and right-censored…
Structural and temporal heterogeneities on networks
Liubov Tupikina, Denis S. Grebenkov
A heterogeneous continuous time random walk is an analytical formalism for studying and modeling diffusion processes in heterogeneous structures on microscopic and macroscopic scal…
Recent advances in methodology for clinical trials in small populations: the InSPiRe project
T. Friede, M. Posch, S. Zohar +19
Where there are a limited number of patients, such as in a rare disease, clinical trials in these small populations present several challenges, including statistical issues. This l…
MGP: Un algorithme de planification temps réel prenant en compte l'évolution dynamique du but
Damien Pellier, Mickaël Vanneufville, Humbert Fiorino +2
Devising intelligent robots or agents that interact with humans is a major challenge for artificial intelligence. In such contexts, agents must constantly adapt their decisions acc…
Planification en temps réel avec agenda de buts et sauts
Damien Pellier, Bruno Bouzy, Marc Métivier
In the context of real-time planning, this paper investigates the contributions of two enhancements for selecting actions. First, the agenda-driven planning enhancement ranks relev…
Hedging Algorithms and Repeated Matrix Games
Bruno Bouzy, Marc Métivier, Damien Pellier
Playing repeated matrix games (RMG) while maximizing the cumulative returns is a basic method to evaluate multi-agent learning (MAL) algorithms. Previous work has shown that ,…
Learning agent's spatial configuration from sensorimotor invariants
Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri +2
The design of robotic systems is largely dictated by our purely human intuition about how we perceive the world. This intuition has been proven incorrect with regard to a number of…
Learning an internal representation of the end-effector configuration space
Alban Laflaquière, Alexander V. Terekhov, Bruno Gas +1
Current machine learning techniques proposed to automatically discover a robot kinematics usually rely on a priori information about the robot's structure, sensors properties or en…
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux +2
Depth estimation is of critical interest for scene understanding and accurate 3D reconstruction. Most recent approaches in depth estimation with deep learning exploit geometrical s…
On A Mixture Of Brenier and Strassen Theorems
Nathael Gozlan, Nicolas Juillet
We give a characterization of optimal transport plans for a variant of the usual quadratic transport cost introduced in [33]. Optimal plans are composition of a deterministic trans…
Crawling migration under chemical signalling: a stochastic particle model
Christèle Etchegaray, Nicolas Meunier
Cell migration is a fundamental process involved in physiological phenomena such as the immune response and morphogenesis, but also in pathological processes, such as the developme…
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
Simon Bussy, Raphaël Veil, Vincent Looten +5
Background: Choosing the most performing method in terms of outcome prediction or variables selection is a recurring problem in prognosis studies, leading to many publications on m…
Moderate deviations for a stochastic Burgers equation
Rachid Belfadli, Lahcen Boulanba, Mohamed Mellouk
A moderate deviations principle for the law of a stochastic Burgers equation is proved via the weak convergence approach. In addition, some useful estimates toward a central limit…
Ice-templating beet-root pectin foams: Controlling texture, mechanics and capillary properties
Sarah Christoph, Ahmed Hamraoui, Estelle Bonnin +3
Sugar beet pectin is a byproduct of the sugar industry with a particularly low gelling power which hinders its application as gelling agent and thickener. Here we consider the use…
Nonparametric Estimation in Fractional SDE
Fabienne Comte, Nicolas Marie
This paper deals with the consistency and a rate of convergence for a Nadaraya-Watson estimator of the drift function of a stochastic differential equation driven by an additive fr…
Multiple sets exponential concentration and higher order eigenvalues
Nathaël Gozlan, Ronan Herry
On a generic metric measured space, we introduce a notion of improved concentration of measure that takes into account the parallel enlargement of k distinct sets. We show that the…
Quantitative characterization of the imaging limits of diffuse low-grade oligodendrogliomas
Chloé Gerin, Johan Pallud, Christophe Deroulers +7
Background : Supratentorial diffuse low-grade gliomas in adults extend beyond maximal visible MRI-defined abnormalities, and a gap exists between the imaging signal changes and the…
The enzyme-like catalytic activity of cerium oxide nanoparticles and its dependency on Ce3+ surface area concentration
V. Baldim, F. Bedioui, N. Mignet +2
Cerium oxide nanoparticles are known to catalyze the decomposition of reactive oxygen species such as superoxide radical and hydrogen peroxide. Herein, we examine the superoxide di…
Renormalization of the Hutchinson Operator
Yann Demichel
One of the easiest and common ways of generating fractal sets in is as attractors of affine iterated function systems (IFS). The classic theory of IFS's requires th…
Epidemic extinction in networks: Insights from the 12,110 smallest graphs
Petter Holme, Liubov Tupikina
We investigate the expected time to extinction in the susceptible-infectious-susceptible (SIS) model of disease spreading. Rather than using stochastic simulations, or asymptotic c…
Rates in almost sure invariance principle for slowly mixing dynamical systems
C. Cuny, J. Dedecker, A. Korepanov +1
We prove the one-dimensional almost sure invariance principle with essentially optimal rates for slowly (polynomially) mixing deterministic dynamical systems, such as Pomeau-Mannev…