Nathan Buskulic

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Inverse Problems

Emission Tomography

Convergence Proof

Top Venues

GECCO (Companion)

J. Math. Imaging Vis.

Publications

Nathan Buskulic, Jalal Fadili, Yvain Quéau
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent. CoRR (2024)
Nathan Buskulic, Jalal Fadili, Yvain Quéau
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. J. Math. Imaging Vis. 66 (4) (2024)
Nathan Buskulic, Yvain Quéau, Jalal Fadili
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. SSVM (2023)
Nathan Buskulic, Yvain Quéau, Jalal Fadili
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. CoRR (2023)
Nathan Buskulic, Jalal Fadili, Yvain Quéau
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. CoRR (2023)
Nathan Buskulic, Carola Doerr
Maximizing Drift Is Not Optimal for Solving OneMax. Evol. Comput. 29 (4) (2021)
Nathan Buskulic, Carola Doerr
Maximizing drift is not optimal for solving OneMax. GECCO (Companion) (2019)
Berend Baas, Dennis van Peer, Jan Gerling, Matthias Tavasszy, Nathan Buskulic, Nestor Z. Salamon, J. Timothy Balint, Rafael Bidarra
Loud and Clear: The VR Game Without Visuals. GALA (2019)
Nathan Buskulic, Carola Doerr
Maximizing Drift is Not Optimal for Solving OneMax. CoRR (2019)