Publications associées à Minimum Mean-Square Error Equalization for Second-Order Volterra Systems

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

We present a statistical framework to benchmark the performance of reconstruction algorithms for linear inverse problems, in particular, neural-network-based methods that require large quantities of training data. We generate synthetic signals as realizati ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

Nicolas Macris, Jean François Emmanuel Barbier

We consider increasingly complex models of matrix denoising and dictionary learning in the Bayes-optimal setting, in the challenging regime where the matrices to infer have a rank growing linearly with the system size. This is in contrast with most existin ...

AMER PHYSICAL SOC2022

Differential Entropy of the Conditional Expectation under Gaussian Noise

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We study the problem of distributed estimation over adaptive networks where communication delays exist between nodes. In particular, we investigate the diffusion Least-Mean-Square (LMS) strategy where delayed intermediate estimates (due to the communicatio ...

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Fusion of Photo with Airborne Laser Scanning

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Photogrammetry and Laser-Scanning are usually considered as complementary. Integration of these two observation methods has the potential to blend their individual advantages. The resulting benefit is likely to be higher in drone airborne mapping, which pa ...

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PERGAMON-ELSEVIER SCIENCE LTD2018

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Minimum Mean-Square Error Equalization for Second-Order Volterra Systems

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

Differential Entropy of the Conditional Expectation under Gaussian Noise

Diffusion LMS With Communication Delays: Stability and Performance Analysis

Some first results on the consistency of spatial regression with partial differential equation regularization

Fusion of Photo with Airborne Laser Scanning

Local estimation of the global horizontal irradiance using an all-sky camera

MMSE Denoising of Sparse and Non-Gaussian AR(1) Processes

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

Asynchronous Adaptation and Learning Over Networks—Part II: Performance Analysis

Graph Chatbot

Chattez avec Graph Search

Asynchronous Adaptation and Learning Over Networks—Part II: Performance Analysis

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

MMSE Denoising of Sparse and Non-Gaussian AR(1) Processes

Local estimation of the global horizontal irradiance using an all-sky camera

Fusion of Photo with Airborne Laser Scanning

Some first results on the consistency of spatial regression with partial differential equation regularization

Diffusion LMS With Communication Delays: Stability and Performance Analysis

Differential Entropy of the Conditional Expectation under Gaussian Noise

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods