CV

Education

Ph.D in Computer Science, Inria Lille Nord Europe, 2018-2021.
M.S. in Applied Statistics, FaMAF, FCE - , Universidad Nacional de Córdoba, Córdoba, Argentina, 2015-2018 (pending defense).
Licenciate (equivalent to M.S.) in Computer Science, FaMAF - Universidad Nacional de Córdoba, Córdoba, Argentina, 2007-2013

2022, Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization, Mariana Vargas Vieyra, 11th International Conference on Probabilistic Graphical Models.
2022, Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization, Mariana Vargas Vieyra, ICML Workshop on Principles of Distribution Shift.
2022, Learning Generative Models with Goal-conditioned Reinforcement Learning, Mariana Vargas Vieyra}, Pierre Ménard, 15th European Workshop on Reinforcement Learning (EWRL).
2022, Generative Models and Goal-Conditioned Reinforcement Learning, Pierre Ménard, Mariana Vargas Vieyra, extended abstract at Northern Lights Deep Learning Conference.
2020, 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 (TextGraphs).
2019, Probabilistic End-to-End Graph-based Semi-Supervised Learning, Mariana Vargas Vieyra, Aurélien Bellet, Pascal Denis, contributed talk at NeurIPS Graph Representation Learning workshop, NeurIPS Bayesian Deep Learning workshop.
2013, Análisis de Componentes Pricipales en Imágenes de Teledetección, Mariana Vargas Vieyra, Master thesis.

October 2021 - present: post-doctoral resesarcher at Inria Grenoble, France.
Jan 2016- July 2016: Graduate Research Intern, Xerox Research Centre Europe, Grenoble, France
2015-2017: Freelance Developer.
2013-2015: Math tutor, Smarthinking Inc., remote.

2012-2013: Teaching assistant for Logic and Algorithms and Data Structures I, FaMAF - Universidad Nacional de Córdoba, Córdoba, Argentina