Undergraduate in Computer Science at the São Paulo State University - USP, São Carlos campus, where he conducts research in the fields of Mathematics and Machine Learning. He is a member of the Olympic Mathematics Study Group (NEMO) and the Study Group for the Programming Marathon (GEMA). He has participated in and received awards in national and international scientific olympiads, such as the International Mathematics Competition for University Students (IMC), the Ibero-American Interuniversity Mathematics Competition (CIIM), the International Collegiate Programming Contest (ICPC), and the Brazilian Mathematics Olympiad (OBM). (Source: Lattes Curriculum)
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The most successful stochastic gradient methods in deep learning have an incremental characteristic and are executed on multiple Graphics Processing Units (GPUs) in large training data sets. It is expected to divide the large group of training data into mini-batches, each containing a subset of this data, to keep the processing of each iteration of the method computationally viable (calle…
Our aim is to initiate research on the discrete differential geometry of curves from a singularity theory viewpoint.(AU)
| 2 / 2 | Completed scholarships in Brazil |
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