Bio

I recently obtained my PhD degree from Inria and Université de Lille where I worked at the Magnet team under the supervision of Pascal Denis and Aurélien Bellet. My PhD work is mainly focused in Graph-based Semi-supervised Learning under topology uncertainty.

Previously, I received my Master’s degree in Computer Science at Facultad de Matemática, Astronomía y Física (FaMAF), Universidad Nacional de Córdoba, Argentina, in October of 2013, and shortly after I enrolled in an Applied Statistics Master program which I almost finished (pending defense).

Publications

  • Joint Learning of the Graph and the Data Representation for Graph-Based Semi-Supervised Learning, Mariana Vargas Vieyra, Aurélien Bellet, Pascal Denis, Proceedings of the Graph-based Methods for Natural Language Processing 2020 (TextGraphs).
  • Probabilistic End-to-End Graph-based Semi-Supervised Learning, Mariana Vargas Vieyra, Aurélien Bellet, Pascal Denis, NeurIPS Bayesian Deep Learning Workshop 2019, contributed talk at NeurIPS Graph Representation Learning Workshop 2019.
  • Principal Component Analysis in Remote Sensing Image Processing, Mariana Vargas Vieyra, Oscar Bustos, Master Thesis 2013.