Alexis Goujon

According to our database, Alexis Goujon authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

On the number of regions of piecewise linear neural networks.

Alexis Goujon, Arian Etemadi, Michael Unser

J. Comput. Appl. Math., May, 2024

Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms.

Alexis Goujon, Sebastian Neumayer, Michael Unser

SIAM J. Imaging Sci., March, 2024

2023

Approximation of Lipschitz Functions Using Deep Spline Neural Networks.

Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser

SIAM J. Math. Data Sci., June, 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

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions.

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

CoRR, 2022

Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization.

Mehrsa Pourya, Alexis Goujon, Michael Unser

CoRR, 2022

The Role of Depth, Width, and Activation Complexity in the Number of Linear Regions of Neural Networks.

Alexis Goujon, Arian Etemadi, Michael Unser

CoRR, 2022

Stable Parametrization of Continuous and Piecewise-Linear Functions.

Alexis Goujon, Joaquim Campos, Michael Unser

CoRR, 2022

2021

Shortest-support multi-spline bases for generalized sampling.

Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser

J. Comput. Appl. Math., 2021

2020

Shortest Multi-Spline Bases for Generalized Sampling.

Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser

CoRR, 2020