8 citations · 8 across the 3 of their papers we have counts for
5 papers
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…
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…
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…
Ultralight Signal Classification Model for Automatic Modulation Recognition
Alessandro Daniele Genuardi Oquendo, Agustín Matías Galante Cerviño, Nilotpal Kanti Sinha +3
The growing complexity of radar signals demands responsive and accurate detection systems that can operate efficiently on resource-constrained edge devices. Existing models, while…
Financial Risk Management on a Neutral Atom Quantum Processor
Lucas Leclerc, Luis Ortiz-Guitierrez, Sebastian Grijalva +19
Machine Learning models capable of handling the large datasets collected in the financial world can often become black boxes expensive to run. The quantum computing paradigm sugges…