Loud and Clear: The VR Game Without Visuals. - Berend Baas; Dennis van Peer; Jan Gerling; Matthias Tavasszy; Nathan Buskulic; Nestor Z. Salamon; J. Timothy Balint; Rafael Bidarra (GALA, 2019)

Labelling Sulcal Graphs Across Indiviuals Using Multigraph Matching. - Nathan Buskulic; François-Xavier Dupé; Sylvain Takerkart; Guillaume Auzias (ISBI, 2021)

Maximizing Drift Is Not Optimal for Solving OneMax. - Nathan Buskulic; Carola Doerr (Evol. Comput., 2021)

Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. - Nathan Buskulic; Yvain Quéau; Jalal Fadili (SSVM, 2023)

Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Trained with Gradient Descent. - Nathan Buskulic; Yvain Quéau; Jalal Fadili (EUSIPCO, 2024)

Neural Network Based Methods for Inverse Problems: Algorithms and Guarantees. (Méthodes à base de Réseaux de Neurones pour les Problèmes Inverses: Algorithmes et Garanties). - Nathan Buskulic (2024)

Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. - Nathan Buskulic; Jalal Fadili; Yvain Quéau (J. Math. Imaging Vis., 2024)

Implicit Regularization of the Deep Inverse Prior Trained with Inertia. - Nathan Buskulic; Jalal Fadil; Yvain Quéau (CoRR, 2025)