Alexis Goujon

Orcid: 0000-0002-2198-0365

According to our database1, Alexis Goujon authored at least 13 papers between 2020 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Dataset for "PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization".
Dataset, October, 2025

2024
On the number of regions of piecewise linear neural networks.
J. Comput. Appl. Math., May, 2024

Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms.
SIAM J. Imaging Sci., March, 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

2023
Approximation of Lipschitz Functions Using Deep Spline Neural Networks.
SIAM J. Math. Data Sci., June, 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

Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization.
CoRR, 2022

The Role of Depth, Width, and Activation Complexity in the Number of Linear Regions of Neural Networks.
CoRR, 2022

Stable Parametrization of Continuous and Piecewise-Linear Functions.
CoRR, 2022

2021
Shortest-support multi-spline bases for generalized sampling.
J. Comput. Appl. Math., 2021

2020
Shortest Multi-Spline Bases for Generalized Sampling.
CoRR, 2020


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