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
Publications
- 2025, TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data link, Paul Tiwald, Ivona Krchova, Andrey Sidorenko, Mariana Vargas Vieyra, Mario Scriminaci, Michael Platzer, arxiv pre-print.
- 2024, Deep End-to-End Survival Analysis with Temporal Consistency, Mariana Vargas Vieyra link, Pascal Frossard, arxiv pre-print.
- 2023, Sub-Quadratic Link Prediction via Bootstrapping, Pierre Ménard, Mariana Vargas Vieyra, extended abstract at Northern Lights Deep Learning Conference.
- 2022, Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization link, Mariana Vargas Vieyra, 11th International Conference on Probabilistic Graphical Models and ICML Workshop on Principles of Distribution Shift.
- 2022, Learning Generative Models with Goal-conditioned Reinforcement Learning link, 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 link, 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 link, 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.
Work experience
- February 2024 - present: Senior AI researcher at MostlyAI, France.
- February 2023 - January 2024: post-doctoral researcher at EPFL, LTS4 team, Switzerland.
- September 2022 - January 2023: Applied Scientist at Zalando, Germany.
- October 2021 - September 2022: 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.
Programming Languages
Mainly Python, including deep learning frameworks such as JAX, PyTorch and Tensorflow, but I’ve also worked with R, C, Java (briefly), Octave and Haskell.
Teaching
- 2012-2013: Teaching assistant for Logic and Algorithms and Data Structures I, FaMAF - Universidad Nacional de Córdoba, Córdoba, Argentina
Languages
- Spanish (native)
- English (fluent)
- French (fluent)
Hobbies
- Classical ballet
- Playing violin
- Running (at least 10k twice a week)
- Reading