output
20022026
most citedSemantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

3.6k citations

Showing 2023Show all

84 papers · 1 filter

cs.DC2023★ 32 cited

Distributed convergence detection based on global residual error under asynchronous iterations

Frédéric Magoulès, Guillaume Gbikpi-Benissan

Convergence of classical parallel iterations is detected by performing a reduction operation at each iteration in order to compute a residual error relative to a potential solution…

math.NA2023★ 1 cited

Asynchronous iterations of HSS method for non-Hermitian linear systems

Guillaume Gbikpi-Benissan, Qinmeng Zou, Frédéric Magoulès

A general asynchronous alternating iterative model is designed, for which convergence is theoretically ensured both under classical spectral radius bound and, then, for a classical…

math.NA2023★ 6 cited

Resilient asynchronous primal Schur method

Guillaume Gbikpi-Benissan, Frédéric Magoulès

This paper introduces the application of the asynchronous iterations theory within the framework of the primal Schur domain decomposition method. A suitable relaxation scheme is de…

math.NA2023★ 7 cited

Asynchronous multiplicative coarse-space correction

Guillaume Gbikpi-Benissan, Frédéric Magoulès

This paper introduces the multiplicative variant of the recently proposed asynchronous additive coarse-space correction method. Definition of an asynchronous extension of multiplic…

eess.SY2023★ 8 cited

Safety verification of Neural-Network-based controllers: a set invariance approach

Louis Jouret, Adnane Saoud, Sorin Olaru

This paper presents a novel approach to ensure the safety of continuous-time linear dynamical systems controlled by a neural network (NN) based state-feedback. Our method capitaliz…

stat.ME2023

Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions

Nora Ouzir, Frédéric Pascal, Jean-Christophe Pesquet

The multivariate generalized Gaussian distribution (MGGD), also known as the multivariate exponential power (MEP) distribution, is widely used in signal and image processing. Howev…