{"ID":2836659,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.19805","arxiv_id":"2511.19805","title":"Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter","abstract":"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 compared their performance against the classical ANMF-Tyler detector (ANMF-FP). The performance of all these detectors is analyzed on synthetic and experimental radar data, showing the advantages and the weaknesses of each detector.","short_abstract":"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 compared their perf...","url_abs":"https://arxiv.org/abs/2511.19805","url_pdf":"https://arxiv.org/pdf/2511.19805v1","authors":"[\"Y. A. Rouzoumka\",\"E. Terreaux\",\"C. Morisseau\",\"J. -P. Ovarlez\",\"C. Ren\"]","published":"2025-11-25T00:20:04Z","proceeding":"eess.SP","tasks":"[\"eess.SP\",\"cs.LG\",\"stat.ML\"]","methods":"[\"Variational Autoencoder\"]","has_code":false}