Author

Blanca Cano-Camarero

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#artificial intelligence Preprint Sep 2026

Revisiting Thinning Methods for Kernel Learning Problems

Backward Kernel Herding is introduced, an algorithm that addresses the problem of iteratively removing points from the dataset by iteratively removing points from the dataset, achieving results comparable to current state-of-the-art approaches while accelerating the subsampling process in realistic scenarios where the...

Blanca Cano-Camarero, Yago R. Aguado-Carrillo-de-Albornoz, Ángela Fernández-Pascual et al. · 0 citations

Jul 2026

Contrastive-Collapsed Loss for Flexible and Geometrically Optimal Embeddings and Faster Convergence

A theoretical analysis positioning CoCo with respect to related objectives shows that the new proposed loss benefits from closer initialization to the optimal configuration, more informative gradients, and stronger incentives for class-wise representation collapse.

Blanca Cano-Camarero, 'Angela Fern'andez-Pascual, José R. Dorronsoro · arXiv.org · 0 citations