Kleyton da Costa
PUC-Rio. Gávea, Rio de Janeiro, Brazil.
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 |