activity
20102024
most citedGeometrical interpretation and improvements of the Blahut-Arimoto's algorithm

16 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ML2024

Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection

Eduardo Dadalto, Florence Alberge, Pierre Duhamel +1

This paper introduces a universal approach to seamlessly combine out-of-distribution (OOD) detection scores. These scores encompass a wide range of techniques that leverage the sel…

cs.LG2024

Beyond the Norms: Detecting Prediction Errors in Regression Models

Andres Altieri, Marco Romanelli, Georg Pichler +2

This paper tackles the challenge of detecting unreliable behavior in regression algorithms, which may arise from intrinsic variability (e.g., aleatoric uncertainty) or modeling err…

stat.ML2022★ 11 cited

Igeood: An Information Geometry Approach to Out-of-Distribution Detection

Eduardo Dadalto Camara Gomes, Florence Alberge, Pierre Duhamel +1

Reliable out-of-distribution (OOD) detection is fundamental to implementing safer modern machine learning (ML) systems. In this paper, we introduce Igeood, an effective method for…

cs.IT2014★ 1 cited

On the efficiency of transmission strategies for broadcast channels using finite size constellations

Zeina Mheich, Florence Alberge, Pierre Duhamel

In this paper, achievable rates regions are derived for power constrained Gaussian broadcast channel of two users using finite dimension constellations. Various transmission strate…

cs.IT2010

New Criteria for Iterative Decoding

Florence Alberge, Ziad Naja, P. Duhamel

Iterative decoding was not originally introduced as the solution to an optimization problem rendering the analysis of its convergence very difficult. In this paper, we investigate…

cs.IT2010★ 16 cited

Geometrical interpretation and improvements of the Blahut-Arimoto's algorithm

Ziad Naja, Florence Alberge, P. Duhamel

The paper first recalls the Blahut Arimoto algorithm for computing the capacity of arbitrary discrete memoryless channels, as an example of an iterative algorithm working with prob…

cs.IT2010

Méthode du point proximal: principe et applications aux algorithmes itératifs

Ziad Naja, Florence Alberge, P. Duhamel

This paper recalls the proximal point method. We study two iterative algorithms: the Blahut-Arimoto algorithm for computing the capacity of arbitrary discrete memoryless channels,…