Graph-based semi-supervised learning in missing and noisy graph settings. (Apprentissage semi-supervisé basé sur les graphes avec des graphes manquants et bruités). - Mariana Vargas Vieyra (2021)

Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization. - Mariana Vargas Vieyra (PGM, 2022)

Learning Generative Models with Goal-conditioned Reinforcement Learning. - Mariana Vargas Vieyra; Pierre Ménard (CoRR, 2023)

Deep End-to-End Survival Analysis with Temporal Consistency. - Mariana Vargas Vieyra; Pascal Frossard (CoRR, 2024)

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data. - Paul Tiwald; Ivona Krchova; Andrey Sidorenko; Mariana Vargas Vieyra; Mario Scriminaci; Michael Platzer (CoRR, 2025)

Democratizing Tabular Data Access with an Open-Source Synthetic-Data SDK. - Ivona Krchova; Mariana Vargas Vieyra; Mario Scriminaci; Andrey Sidorenko (CoRR, 2025)