Kleyton da Costa

PUC-Rio. Gávea, Rio de Janeiro, Brazil.

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To imagine is the characteristic act, not of the poet’s mind, or the painter’s, or the scientist’s, but of the mind of man.
(The Ascent of Man by Jacob Bronowski)

I am pursuing an MSc in Computer Science at PUC-Rio, under the supervision of Prof. Hélio Côrtes Vieira Lopes. In addition, I work as an AI Researcher at Holistic AI in London, UK, and as a Research Engineer at ExACTa. Furthermore, I am a core contributor to the open-source project quantsci, where I focus on develop tools for science and engineering projects.

My research interests include (and is not limited to):

  • Learning on Graphs
  • Responsible AI
  • Algorithms for Optimization

The best way to contact me is by email: kleyton.vsc@gmail.com. I’m always open to interesting discussions and collaboration opportunities. It’s possible check my research on Google Scholar.

news

Nov 08, 2024 Code and updated text of the paper Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics.
Sep 24, 2024 We release the version 0.1.8 of the optymus library. New optimization examples and methods.
Jan 30, 2024 We release an updated version of the paper Evaluating explainability for machine learning predictions using model-agnostic metrics

latest posts

selected publications

  1. Evaluating explainability for machine learning predictions using model-agnostic metrics
    Cristian Munoz ,  Kleyton Costa ,  Bernardo Modenesi , and 1 more author
    arXiv preprint arXiv:2302.12094, 2024
  2. Bank of England
    Deep learning model fragility and implications for financial stability and regulation
    Rishabh Kumar ,  Adriano Koshiyama ,  Kleyton Costa , and 6 more authors
    2023
  3. Energies
    Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector
    Felipe Silva ,  Kleyton Costa ,  Paulo Canas Rodrigues , and 2 more authors
    Energies, 2022