Author

Samir Sadok

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#artificial intelligence Preprint Sep 2026

GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets

GLaS-JEPA is presented, a framework that directly predicts the current encoder's continuous representations at masked positions, without contrastive learning, discrete targets, or separate EMA target encoders, and prevents representation collapse using SIGReg representation-space regularization.

G. Botté, Séverin Baroudi, Samir Sadok et al. · 0 citations

Jul 2026

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective

This work establishes a task-agnostic analysis from three intrinsic per-layer perspectives: compression, geometry, and robustness to perturbations, and introduces the cross-layer Generative Compatibility Matrix (GCM) to evaluate functional transferability.

Samir Sadok, Xavier Alameda-Pineda · arXiv.org · 1 citation