Stanislas Ducotterd

Orcid: 0009-0006-2047-5179

According to our database1, Stanislas Ducotterd authored at least 11 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Learning Regularization Functionals for Inverse Problems: A Comparative Study.
CoRR, October, 2025

Undersampled Phase Retrieval with Image Priors.
CoRR, September, 2025

Multivariate Fields of Experts.
CoRR, August, 2025

Universal Architectures for the Learning of Polyhedral Norms and Convex Regularization Functionals.
CoRR, March, 2025

Learning of Patch-Based Smooth-Plus-Sparse Models for Image Reconstruction.
Proceedings of the Conference on Parsimony and Learning, 2025

2024
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions.
J. Mach. Learn. Res., 2024

Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures.
CoRR, 2024

Parseval Convolution Operators and Neural Networks.
CoRR, 2024

Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Neural-Network-Based Convex Regularizer for Inverse Problems.
IEEE Trans. Computational Imaging, 2023

2022
A Neural-Network-Based Convex Regularizer for Image Reconstruction.
CoRR, 2022


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