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Eugénie Terreaux

4 accepted papers

2026

GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models

Rouzoumka Yadang Alexis, Jean Pinsolle, Eugénie TERREAUX, christele morisseau, Jean-Philippe Ovarlez, Chengfang Ren
ICML 2026poster

Diffusion models learn a time-indexed score field $\mathbf{s}_\theta(\mathbf{x}_t,t)$ that often inherits approximate equivariances (flips, rotations, circular shifts) from in-distribution (ID) data and convolutional backbones. Most diffusion-based out-of-distribution (OOD) detectors exploit score m…

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2026

LATENT-SPACE METRICS FOR COMPLEX-VALUED VAE OUT-OF-DISTRIBUTION DETECTION UNDER RADAR CLUTTER

Yadang Alexis Rouzoumka, Eugénie Terreaux, Jean-Philippe Ovarlez, Chengfang Ren
ICASSP 2026poster

We investigate complex-valued Variational AutoEncoders (CVAE) for radar Out-Of-Distribution (OOD) detection in complex radar environments. We proposed several detection metrics: the reconstruction error of CVAE (CVAE-MSE), the latent-based scores (Mahalanobis, Kullback-Leibler divergence (KLD)), and…

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2025

Out-of-Distribution Radar Detection in Compound Clutter and Thermal Noise through Variational Autoencoders

Yadang Alexis Rouzoumka, Eugénie Terreaux, Christèle Morisseau, Jean Philippe Ovarlez, Chengfang Ren
ICASSP 2025accepted

This paper presents a novel approach to radar target detection using Variational AutoEncoders (VAEs). Known for their ability to learn complex distributions and identify out-of-distribution samples, the proposed VAE architecture effectively distinguishes radar targets from various noise types, inclu…

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2018

A Toeplitz-Tyler Estimation of the Model Order in Large Dimensional Regime

Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal
ICASSP 2018accepted

This paper presents a new algorithm to estimate the number of sources embedded in a correlated Complex Elliptically Distributed (CES) noise in the context of large dimensional regime. The proposed method is a two-steps ones: first the data covariance matrix is estimated with a robust and consistent…

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