Miguel Crispim Romão
Miguel Crispim Romão
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Journal article
Date
2026
2025
2024
2023
2022
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2018
2017
2016
2015
Miguel Crispim Romão
,
Stephen F. King
(2026).
Two Flavon Froggatt-Nielsen Models with Genetic Algorithms
.
Cite
arXiv
C. R. Bom
,
others
(2026).
Toward decision-aware AI for LSST-scale time-domain astronomy
.
Cite
arXiv
Fernando Abreu de Souza
,
Nuno Filipe Castro
,
Miguel Crispim Romão
,
Mark D. Goodsell
,
Farid Ibrahimov
,
Werner Porod
(2026).
BSMArt 2: simpler and faster parameter space scans
.
Cite
arXiv
Fernando Abreu de Souza
,
Rafael Boto
,
Miguel Crispim Romão
,
Pedro N. de Figueiredo
,
Jorge C. Romão
(2026).
Machine Learning insights on the Z3 3HDM with Dark Matter
.
Cite
arXiv
Shehu AbdusSalam
,
Steven Abel
,
Deaglan Bartlett
,
Miguel Crispim Romão
(2026).
Symbolic Regression and Differentiable Fits in Beyond the Standard Model Physics
.
Phil. Trans. Roy. Soc. Lond. A
.
Cite
DOI
arXiv
Fernando Abreu de Souza
,
Maura Barros
,
Nuno F. Castro
,
Miguel Crispim Romão
,
Céu Neiva
,
Rute Pedro
(2026).
Sensitivity to new physics phenomena in anomaly detection: A study of untunable hyperparameters
.
Phys. Rev. D
.
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DOI
arXiv
Miguel Crispim Romão
,
João Arruda Gonçalves
,
Jose Guilherme Milhano
(2026).
Quantifying vacuum-like jets in heavy-ion collisions: a machine learning study
.
Eur. Phys. J. C
.
Cite
DOI
arXiv
Fernando Abreu de Souza
,
Rafael Boto
,
Miguel Crispim Romão
,
Pedro N. Figueiredo
,
Jorge C. Romão
,
João P. Silva
(2025).
Unearthing large pseudoscalar Yukawa couplings with machine learning
.
JHEP
.
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DOI
arXiv
Shehu AbdusSalam
,
Steven Abel
,
Miguel Crispim Romão
(2025).
Symbolic regression for beyond the standard model physics
.
Phys. Rev. D
.
Cite
DOI
arXiv
Vasileios Basiouris
,
Miguel Crispim Romão
,
Stephen F. King
,
George K. Leontaris
(2025).
Modular family symmetry in fluxed GUTs
.
Phys. Rev. D
.
Cite
DOI
arXiv
Fernando Abreu de Souza
,
Nuno Filipe Castro
,
Miguel Crispim Romão
,
Werner Porod
(2025).
Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms
.
JHEP
.
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DOI
arXiv
Miguel Crispim Romão
,
Djuna Croon
,
Benedict Crossey
,
Daniel Godines
(2025).
Dark classification matters: searching for primordial black holes with LSST
.
JCAP
.
Cite
DOI
arXiv
Miguel Crispim Romão
,
Djuna Croon
,
Daniel Godines
(2025).
Anomaly detection to identify transients in LSST time series data
.
Mon. Not. Roy. Astron. Soc.
.
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DOI
arXiv
Miguel Crispim Romão
,
Djuna Croon
(2024).
Microlensing signatures of extended dark objects using machine learning
.
Phys. Rev. D
.
Cite
DOI
arXiv
Miguel Crispim Romão
,
Jose Guilherme Milhano
,
Marco van Leeuwen
(2024).
Jet substructure observables for jet quenching in quark gluon plasma: A machine learning driven analysis
.
SciPost Phys.
.
Cite
DOI
arXiv
Miguel Crispim Romão
,
Stephen F. King
(2024).
Gravitational Waves and gravitino mass in No-Scale Supergravity inflation with Polonyi term
.
JCAP
.
Cite
DOI
arXiv
Jorge Crispim Romão
,
Miguel Crispim Rom\õ
(2024).
Combining evolutionary strategies and novelty detection to go beyond the alignment limit of the Z3 3HDM
.
Phys. Rev. D
.
Cite
DOI
arXiv
Fernando Abreu de Souza
,
Miguel Crispim Romão
,
Nuno Filipe Castro
,
Mehraveh Nikjoo
,
Werner Porod
(2023).
Exploring parameter spaces with artificial intelligence and machine learning black-box optimization algorithms
.
Phys. Rev. D
.
Cite
DOI
arXiv
Miguel Caçador Peixoto
,
Nuno Filipe Castro
,
Miguel Crispim Romão
,
Maria Gabriela Jord\õ Oliveira
,
Inês Ochoa
(2022).
Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets
.
Frontiers in Artificial Intelligence
.
Cite
arXiv
M. Crispim Romão
,
N. F. Castro
,
J. G. Milhano
,
R. Pedro
,
T. Vale
(2021).
Use of a generalized energy Mover's distance in the search for rare phenomena at colliders
.
Eur. Phys. J. C
.
Cite
DOI
arXiv
M. Crispim Romão
,
N. F. Castro
,
R. Pedro
(2021).
Finding New Physics without learning about it: Anomaly Detection as a tool for Searches at Colliders
.
Eur. Phys. J. C
.
Cite
DOI
arXiv
Liliana Apolinário
,
Nuno F. Castro
,
M. Crispim Romão
,
Jose Guilherme Milhano
,
Rute Pedro
,
F. C. R. Peres
(2021).
Deep Learning for the classification of quenched jets
.
JHEP
.
Cite
DOI
arXiv
M. Romão Crispim
,
N. F. Castro
,
R. Pedro
,
T. Vale
(2020).
Transferability of Deep Learning Models in Searches for New Physics at Colliders
.
Phys. Rev.
.
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DOI
arXiv
Miguel Crispim Romão
,
Stephen F. King
,
George K. Leontaris
(2018).
Non-universal $Z'$ from fluxed GUTs
.
Phys. Lett.
.
Cite
DOI
arXiv
Miguel Crispim Romão
,
Stephen F. King
(2017).
Starobinsky-like inflation in no-scale supergravity Wess-Zumino model with Polonyi term
.
JHEP
.
Cite
DOI
arXiv
Miguel Crispim Romão
,
Athanasios Karozas
,
Stephen F. King
,
George K. Leontaris
,
Andrew K. Meadowcroft
(2016).
R-Parity violation in F-Theory
.
JHEP
.
Cite
DOI
arXiv
Bobby S. Acharya
,
Krzysztof Bożek
,
Miguel Crispim Romão
,
Stephen F. King
,
Chakrit Pongkitivanichkul
(2016).
Neutrino mass from M Theory SO(10)
.
JHEP
.
Cite
DOI
arXiv
Miguel Crispim Romão
,
Athanasios Karozas
,
Stephen F. King
,
George K. Leontaris
,
Andrew K. Meadowcroft
(2016).
MSSM from F-theory SU(5) with Klein Monodromy
.
Phys. Rev.
.
Cite
DOI
arXiv
Bobby S. Acharya
,
Krzysztof Bożek
,
Miguel Crispim Romão
,
Stephen F. King
,
Chakrit Pongkitivanichkul
(2015).
SO(10) Grand Unification in M theory on a G2 manifold
.
Phys. Rev.
.
Cite
DOI
arXiv
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