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ORCIDNathan Buskulic
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2020 – today
- 2024
[j2]Nathan Buskulic, Jalal Fadili, Yvain Quéau:
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. J. Math. Imaging Vis. 66(4): 584-605 (2024)- [c5]Nathan Buskulic, Yvain Quéau, Jalal Fadili:
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Trained with Gradient Descent. EUSIPCO 2024: 1806-1810 - [i4]Nathan Buskulic, Jalal Fadili, Yvain Quéau:
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent. CoRR abs/2403.05395 (2024) - 2023
- [c4]Nathan Buskulic, Yvain Quéau, Jalal Fadili:
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. SSVM 2023: 406-417 - [i3]Nathan Buskulic, Yvain Quéau, Jalal Fadili:
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. CoRR abs/2303.11265 (2023) - [i2]Nathan Buskulic, Jalal Fadili, Yvain Quéau:
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. CoRR abs/2309.12128 (2023) - 2021
- [j1]Nathan Buskulic, Carola Doerr:
Maximizing Drift Is Not Optimal for Solving OneMax. Evol. Comput. 29(4): 521-541 (2021) - [c3]Nathan Buskulic, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias:
Labelling Sulcal Graphs Across Indiviuals Using Multigraph Matching. ISBI 2021: 1486-1490
2010 – 2019
- 2019
- [c2]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: 180-190 - [c1]Nathan Buskulic, Carola Doerr:
Maximizing drift is not optimal for solving OneMax. GECCO (Companion) 2019: 425-426 - [i1]Nathan Buskulic, Carola Doerr:
Maximizing Drift is Not Optimal for Solving OneMax. CoRR abs/1904.07818 (2019)
Coauthor Index
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