7 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institut Universitaire de FranceFR12 papers
- Université de LorraineFR7 papers
- Institut Élie Cartan de LorraineFR6 papers
- Osiris Therapeutics (United States)US3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Département d'InformatiqueFR2 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR2 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR2 papers
- Leibniz Institute of Environmental MedicineDE2 papers
- Lyon 1 UniversitéFR2 papers
- Sierra Engineering (United States)US2 papers
- Université Paris-SaclayFR2 papers
22 papers
Existence of solutions to the voltage-conductance kinetic equation in a general conductivity regime
C Fonte Sanchez, S Mischler, D Salort
We establish the existence of a weak solution to the Voltage-Conductance kinetic equation for any conductivity parameter and any reasonable initial datum, and in particular without…
Attention-based PCA
Rodrigo Maulen-Soto, Claire Boyer
We study attention mechanisms through the lens of a canonical unsupervised problem: principal component analysis (PCA). We show that, when trained on Gaussian data, both softmax an…
The -Trace System
Daniel Barlet
We study a simple 1-parameter perturbation of the regular holonomic Trace System satisfied by a complex power of the root of the universal polynomial of degree k as a holomorphic f…
Diachronic Stereo Matching for Multi-Date Satellite Imagery
Elías Masquil, Luca Savant Aira, Roger Marí +3
Recent advances in image-based satellite 3D reconstruction have progressed along two complementary directions. On one hand, multi-date approaches using NeRF or Gaussian-splatting j…
Modulating the tennis racket grip during motor imagery influences serve accuracy and performance: A pilot study
Aymeric Guillot, Julien Gauthier, Jeanne Lejoncour +1
There is now ample evidence that Motor Imagery (MI) contributes to improve motor performance. Previous studies provided evidence that its effectiveness remains dependent upon speci…
Fast kernel methods: Sobolev, physics-informed, and additive models
Nathan Doumèche, Francis Bach, Gérard Biau +1
Kernel methods are powerful tools in statistical learning, but their cubic complexity in the sample size n limits their use on large-scale datasets. In this work, we introduce a sc…
A numerical study of stability for solitary waves of a quasi-linear Schr{ö}dinger equation
Meriem Bahhi, Jonas Lampart, Christian Klein +1
We discuss the (in)stability of solitary waves for a quasi-linear Schr{ö}dinger equation. The equation contains a quasi-linear term, responsible for a saturation effect, as well as…
Generalized Brieskorn Modules II: Higher Bernstein Polynomials and Multiple Poles
Daniel Barlet
Our main result is to show that the existence of a root in. ----Nfor the p-th Bernstein polynomial of the (a,b)-module generated by a holomorphicform in the (convergent) Briesko…
Forecasting time series with constraints
Nathan Doumèche, Francis Bach, Éloi Bedek +3
Time series forecasting presents unique challenges that limit the effectiveness of traditional machine learning algorithms. To address these limitations, various approaches have in…
On Symmetric and Anti-symmetric Partial Differential Operators
Daniel Barlet
We study the action of symmetric PDO on the module of anti-symmetric functions in . We show that over the Weyl algebra of the elementary symmetric functions, this…
Physics-informed kernel learning
Nathan Doumèche, Francis Bach, Gérard Biau +1
Physics-informed machine learning typically integrates physical priors into the learning process by minimizing a loss function that includes both a data-driven term and a partial d…
Physics-informed machine learning as a kernel method
Nathan Doumèche, Francis Bach, Gérard Biau +1
Physics-informed machine learning combines the expressiveness of data-based approaches with the interpretability of physical models. In this context, we consider a general regressi…
Generalized Brieskorn Modules I: Convergent (a,b)-modules
Daniel Barlet
This paper is the first one of two papers whose goal is to give a converse to the main result of my previous paper [6], so to prove the existence of multiple poles for the distribu…
Evolution of Gaussian measures and application to the one dimensional nonlinear Schr{ö}dinger equation
Laurent Thomann, Nicolas Burq
In this note, we give an overview of some results obtained in [3]. This latter work is devoted to the study of the one-dimensional nonlinear Schr{ö}dinger equation with random init…
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits
Alexis de Colnet, Pierre Marquis
We consider the problem EnumIP of enumerating prime implicants of Boolean functions represented by decision decomposable negation normal form (dec-DNNF) circuits. We study EnumIP f…
MLinter: Learning Coding Practices from Examples-Dream or Reality?
Corentin Latappy, Quentin Perez, Thomas Degueule +5
Coding practices are increasingly used by software companies. Their use promotes consistency, readability, and maintainability, which contribute to software quality. Coding practic…
Topological Lasing from Thouless Pumping in Bilayer Photonic Crystal
D. -H. -Minh Nguyen, Dung Xuan Nguyen, Hai-Chau Nguyen +5
Topological lasing leverages concepts from topological physics to achieve single-mode light amplification within topological bandgaps, offering robustness against fabrication imper…
Gauduchon's form and compactness of the space of divisors
Daniel Barlet
We show that in a holomorphic family of compact complex connected manifolds parametrized by an irreducible complex space , assuming that on a dense Zariski open set in $…
Note on the semi-continuity of the algebraic dimension
Daniel Barlet
In this short Note we show that the direct image sheaf R 1 * (O X) associated to an analytic family of compact complex manifolds : X S parametrized by a reduc…
Note on the quasi-proper direct image with value in a Banach analytic set
Daniel Barlet
We give a rather simple proof of the generalization of Kuhlmann's quasi-proper direct image theorem to the case of a map with values in a Banach analytic set. The proof uses a gene…
Dispersive coupling between light and a rare-earth ion doped mechanical resonator
Klaus Mølmer, Yann Le Coq, Signe Seidelin
By spectrally hole burning an inhomogeneously broadened ensemble of ions while applying a controlled perturbation, one can obtain spectral holes that are functionalized for maximum…
Transportation cost-information and concentration inequalities for bifurcating Markov chains
Siméon Valère Bitseki Penda, Mikael Escobar-Bach, Arnaud Guillin
We investigate the transportation cost-information inequalities for bifurcating Markov chains which are a class of processes indexed by binary tree. These processes provide models…