Pedro Carvalho

Pedro Carvalho is a Ph.D. Student attending the PhD in Informatics Engineering at the University of Coimbra. He obtained a Masters's and a Bachelor's degree in Informatics Engineering in this same institution. He works in the fields of Evolutionary Computation, Machine Learning and Neuroevolution. He works on the evolutionary solutions to neural network design problems publishing about the evolution of learning rate policies and neural network optimizers.

Email: pfcarvalho@dei.uc.pt
ORCID: 0000-0003-3845-4617
Google Scholar: link
Research Gate: link

In Proceedings

  • P. Carvalho, N. Lourenço, F. Assunção, and P. Machado, “AutoLR: An Evolutionary Approach to Learning Rate Policies,” in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, New York, NY, USA, 2020, pp. 672-680.
    • Bibtex
      • @inproceedings{carvalho2020autolr,
      author = {Carvalho, Pedro and Louren\c{c}o, Nuno and Assun\c{c}\~{a}o, Filipe and Machado, Penousal},
      title = {AutoLR: An Evolutionary Approach to Learning Rate Policies},
      year = {2020},
      isbn = {9781450371285},
      publisher = {Association for Computing Machinery},
      address = {New York, NY, USA},
      url = {https://doi.org/10.1145/3377930.3390158},
      doi = {10.1145/3377930.3390158},
      booktitle = {Proceedings of the 2020 Genetic and Evolutionary Computation Conference},
      pages = {672-680},
      numpages = {9},
      keywords = {learning rate schedulers, structured grammatical evolution},
      location = {Canc\'{u}n, Mexico},
      series = {GECCO ’20}
      }
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