3 papers
cs.LG2026
ProtModernBERT: Compute-Efficient Protein Language Modeling
Alberto Martínez, Natalia Flechas Manrique, Llorenç Espinosa-Portalés +1
Large protein language models provide a powerful framework for learning sequence-function relationships and guiding experimental design. However, architectural improvements are und…
quant-ph2026
Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data
Boaz Micah, Nadia Milazzo, Maissa Beji +8
Quantum kernel methods are leading candidates for a practical quantum advantage in machine learning, but assessing that potential requires two quantities usually reported separatel…
cs.LG2025
epiGPTope: A machine learning-based epitope generator and classifier
Natalia Flechas Manrique, Alberto Martínez, Elena López-Martínez +5
Epitopes are short antigenic peptide sequences which are recognized by antibodies or immune cell receptors. These are central to the development of immunotherapies, vaccines, and d…