

Miguel Romão
Researcher ( LIP Minho )
Groups
Exploring parameter spaces with artificial intelligence and machine learning black-box optimization algorithms
- Autor(es): Fernando Abreu de Souza, Miguel Crispim Romão, Nuno Castro, Mehraveh Nikjoo, Werner Porod
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Submission: 2022-07-04 Acceptance: 2023-01-10 Publication: 2023-02-06
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Reference: Phys. Rev. D 107, 035004
Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets
- Autor(es): Miguel Caçador Peixoto, Nuno Filipe Castro, Miguel Crispim Romão, Maria Gabriela Jordão Oliveira, Inês Ochoa
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Submission: 2022-11-06 Acceptance: 2022-11-06 Publication: 2022-11-06
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Reference: arXiv:2211.03233
Deep Learning for the Classification of Quenched Jets
- Autor(es): L. Apolinário, N. F. Castro, M. Crispim Romão, J. G. Milhano, R. Pedro, F. C. R. Peres
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Submission: 2021-06-18 Acceptance: 2021-11-16 Publication: 2021-11-29
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Reference: JHEP11 (2021) 219
Use of a Generalized Energy Mover's Distance in the Search for Rare Phenomena at Colliders
- Autor(es): M. Crispim Romao, N.F. Castro , J.G. Milhano, R. Pedro, T. Vale
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Submission: 2020-04-20 Acceptance: 2021-01-18 Publication: 2021-02-26
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Reference: Eur. Phys. J. C 81, 192 (2021)
Deep Learning Versatility in New Physics Searches
- Autor(es): Miguel Romão
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Submission: Acceptance: Publication: 2021-02-02
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Reference: PoS (ICHEP2020) 233
Finding new physics without learning about it: anomaly detection as a tool for searches at colliders
- Autor(es): M. Crispim Romao, N. F. Castro, R. Pedro
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Submission: 2020-06-23 Acceptance: 2020-12-24 Publication: 2021-01-15
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Reference: EPJC 81 (2021) 27
Transferability of Deep Learning Models in Searches for New Physics at Colliders
- Autor(es): M. Crispim Romao, N. F. Castro, R. Pedro, T. Vale
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Submission: 2019-12-14 Acceptance: 2020-02-10 Publication: 2020-02-28
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Reference: Phys. Rev. D 101 (2020) 035042