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Skander Bensegueni

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Conference Open access 2026

Progressive Multi-Objective Optimization for Improved t-SNE Embeddings

A progressive multi-objective optimization framework is proposed that enhances t-SNE by integrating complementary loss functions, including a ranking-aware divergence (KLmax) and a Wasserstein-based term for global alignment.

S. Belhaouari, Skander Bensegueni, Lyes Fennour et al. · 0 citations