Nathan Buskulic Doctorant

Identifiants chercheurs

IdHAL :

nathan-buskulic

ORCID :

0009-0000-7475-5615

arXiv :

buskulic_n_1

Publications

Article dans une revue (1)

Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Nathan Buskulic,Jalal M. Fadili,Yvain Quéau Journal of Mathematical Imaging and Vision, 2024, 66 (4), pp.584-605. ⟨10.1007/s10851-024-01191-0⟩ Article dans une revue hal-04059168v3

Communication dans un congrès (3)

Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent Nathan Buskulic,Yvain Quéau,Jalal Fadili 2024 32nd European Signal Processing Conference (EUSIPCO), Aug 2024, Lyon, France. pp.1806-1810, ⟨10.23919/EUSIPCO63174.2024.10715276⟩ Communication dans un congrès hal-04496435v1
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior Nathan Buskulic,Yvain Quéau,Jalal Fadili 9th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2023), May 2023, Santa Margherita di Pula, Italy. pp.406-417, ⟨10.1007/978-3-031-31975-4_31⟩ Communication dans un congrès hal-04040724v1
Garanties de convergence pour la résolution de problèmes inverses linéaires par réseaux de neurones génératifs Nathan Buskulic,Jalal M. Fadili,Yvain Quéau Colloque GRETSI, 2023, Nancy, France Communication dans un congrès hal-04502368v1

Pré-publication, Document de travail (3)

A Comparative Study of MAP and LMMSE Estimators for Blind Inverse Problems Nathan Buskulic,Luca Calatroni 2026 Pré-publication, Document de travail hal-05506641v1
On the Sample Complexity of Learning for Blind Inverse Problems Nathan Buskulic,Luca Calatroni,Lorenzo Rosasco,Silvia Villa 2025 Pré-publication, Document de travail hal-05434258v2
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior Nathan Buskulic,Yvain Quéau,Jalal Fadili 2023 Pré-publication, Document de travail hal-04033169v1

Chapitre d'ouvrage (1)

Implicit Regularization of the Deep Inverse Prior Trained with Inertia Nathan Buskulic,Jalal Fadili,Yvain Quéau A. Hauptmann, B. Jin, Carola-Bibiane Schonlieb. Machine Learning Solutions for Inverse Problems: Part A, 26, pp.273-314, In press, Handbook of Numerical Analysis Chapitre d'ouvrage hal-05096009v1

Thèse (1)

Neural Network Based Methods for Inverse Problems: Algorithms and Guarantees Nathan Buskulic Machine Learning [cs.LG]. Université de CAEN Normandie, 2024. English. ⟨NNT : ⟩ Thèse tel-04954064v1