Article-Journal

Modular Family Symmetry in F-Theory GUTs from the Bottom-up
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Vasileios Basiouris, Miguel Crispim Romão, Stephen F. King, George K. Leontaris
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Symbolic Regression for Beyond the Standard Model Physics
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Shehu AbdusSalam, Steven Abel, Miguel Crispim Romão
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Combining evolutionary strategies and novelty detection to go beyond the alignment limit of the Z3 3HDM
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Jorge Crispim Romão, Miguel Crispim Rom\õ
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Gravitational Waves and gravitino mass in No-Scale Supergravity inflation with Polonyi term
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Miguel Crispim Romão, Stephen F. King
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Jet substructure observables for jet quenching in quark gluon plasma: A machine learning driven analysis
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Miguel Crispim Romão, José Guilherme Milhano, Marco Van Leeuwen
Cite DOI arXiv
Microlensing signatures of extended dark objects using machine learning
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Miguel Crispim Romão, Djuna Croon
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Exploring parameter spaces with artificial intelligence and machine learning black-box optimization algorithms
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Fernando Abreu De Souza, Miguel Crispim Romão, Nuno Filipe Castro, Mehraveh Nikjoo, Werner Porod
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Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets
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Miguel Caçador Peixoto, Nuno Filipe Castro, Miguel Crispim Romão, Maria Gabriela Jord\õ Oliveira, Inês Ochoa
Cite arXiv
Deep Learning for the classification of quenched jets
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Liliana Apolinário, Nuno F. Castro, M. Crispim Romão, Jose Guilherme Milhano, Rute Pedro, F. C. R. Peres
Cite DOI arXiv
Finding New Physics without learning about it: Anomaly Detection as a tool for Searches at Colliders
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M. Crispim Romão, N. F. Castro, R. Pedro
Cite DOI arXiv