Author

L. Andrea

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#artificial intelligence Preprint Oct 2026

ProtModernBERT: Compute-Efficient Protein Language Modeling

Large protein language models provide a powerful framework for learning sequence-function relationships and guiding experimental design. However, architectural improvements are underexplored, especially in low-compute regimes of relevance for resource-constrained research laboratories. We show that the training cost fo...

Alberto Martínez, Natalia Flechas Manrique, Llorenç Espinosa-Portalés et al. · 0 citations

#machine learning Preprint Oct 2026

Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data

Quantum kernel methods are leading candidates for a practical quantum advantage in machine learning, but assessing that potential requires two quantities usually reported separately: how well a kernel performs on the task, and how far its geometry departs from the classical kernels available for the same problem. We in...

Boaz Micah, Nadia Milazzo, Maissa Beji et al. · 0 citations