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pro vyhledávání: '"TREMBLAY, Nicolas"'
Random diffusions are a popular tool in Monte-Carlo estimations, with well established algorithms such as Walk-on-Spheres (WoS) going back several decades. In this work, we introduce diffusion estimators for the problems of angular synchronization an
Externí odkaz:
http://arxiv.org/abs/2403.19300
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
We study the convergence of message passing graph neural networks on random graph models to their continuous counterpart as the number of nodes tends to infinity. Until now, this convergence was only known for architectures with aggregation functions
Externí odkaz:
http://arxiv.org/abs/2304.11140
Discrete Determinantal Point Processes (DPPs) have a wide array of potential applications for subsampling datasets. They are however held back in some cases by the high cost of sampling. In the worst-case scenario, the sampling cost scales as O(n^3)
Externí odkaz:
http://arxiv.org/abs/2210.17358
Autor:
Jaquard, Hugo, Fanuel, Michaël, Amblard, Pierre-Olivier, Bardenet, Rémi, Barthelmé, Simon, Tremblay, Nicolas
We introduce new smoothing estimators for complex signals on graphs, based on a recently studied Determinantal Point Process (DPP). These estimators are built from subsets of edges and nodes drawn according to this DPP, making up trees and unicycles,
Externí odkaz:
http://arxiv.org/abs/2210.08014
Publikováno v:
GRETSI 2022 - XXVIII{\`e}me Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France
The trace $\tr(q(\ma{L} + q\ma{I})^{-1})$, where $\ma{L}$ is a symmetric diagonally dominant matrix, is the quantity of interest in some machine learning problems. However, its direct computation is impractical if the matrix size is large. State-of-t
Externí odkaz:
http://arxiv.org/abs/2206.07421
Gaussian process (GP) regression is a fundamental tool in Bayesian statistics. It is also known as kriging and is the Bayesian counterpart to the frequentist kernel ridge regression. Most of the theoretical work on GP regression has focused on a larg
Externí odkaz:
http://arxiv.org/abs/2201.01074
Autor:
Tremblay, Nicolas
Les robots parallèles entraînés par câbles sont un type de manipulateur bénéficiant d’un grand espace de travail en translation tout en offrant des performances dynamiques supérieures à celles des architectures de robots traditionnelles. Ma
Externí odkaz:
https://hdl.handle.net/20.500.11794/67135
Autor:
Tremblay, Nicolas
Se résumant pour l'essentiel à un théâtre de paroles, l'oeuvre de Valère Novarina a des balises claires. L'action de ses textes -utopiques ou concrètement scéniques -se déroule sur un plateau épuré et presque libre de tout décor, où les p
Externí odkaz:
http://www.archipel.uqam.ca/1178/1/D1658.pdf
Large dimensional least-squares and regularised least-squares problems are expensive to solve. There exist many approximate techniques, some deterministic (like conjugate gradient), some stochastic (like stochastic gradient descent). Among the latter
Externí odkaz:
http://arxiv.org/abs/2110.07894
Determinantal point processes (DPPs) are repulsive point processes where the interaction between points depends on the determinant of a positive-semi definite matrix. In this paper, we study the limiting process of L-ensembles based on kernel matrice
Externí odkaz:
http://arxiv.org/abs/2107.07213