Stanislas Ducotterd

According to our database, Stanislas Ducotterd authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Universal Architectures for the Learning of Polyhedral Norms and Convex Regularization Functionals.

Michael Unser, Stanislas Ducotterd

CoRR, March, 2025

Learning of Patch-Based Smooth-Plus-Sparse Models for Image Reconstruction.

Stanislas Ducotterd, Sebastian Neumayer, Michael Unser

Proceedings of the Conference on Parsimony and Learning, 2025

2024

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions.

Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser

J. Mach. Learn. Res., 2024

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

Michael Unser, Alexis Goujon, Stanislas Ducotterd

CoRR, 2024

Parseval Convolution Operators and Neural Networks.

Michael Unser, Stanislas Ducotterd

CoRR, 2024

Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium.

Stanislas Ducotterd, Sebastian Neumayer, Michael Unser

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

A Neural-Network-Based Convex Regularizer for Inverse Problems.

Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser

IEEE Trans. Computational Imaging, 2023

2022

A Neural-Network-Based Convex Regularizer for Image Reconstruction.

Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser

CoRR, 2022