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ORCIDAlexis Goujon
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2020 – today
- 2024
[j6]Alexis Goujon
, Arian Etemadi, Michael Unser:
On the number of regions of piecewise linear neural networks. J. Comput. Appl. Math. 441: 115667 (2024)- [j5]Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser:
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. J. Mach. Learn. Res. 25: 65:1-65:30 (2024) - [j4]Alexis Goujon, Sebastian Neumayer, Michael Unser:
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. SIAM J. Imaging Sci. 17(1): 91-115 (2024) - [i9]Michael Unser, Alexis Goujon, Stanislas Ducotterd:
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures. CoRR abs/2408.13114 (2024) - 2023
- [j3]Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser:
Approximation of Lipschitz Functions Using Deep Spline Neural Networks. SIAM J. Math. Data Sci. 5(2): 306-322 (2023) - [j2]Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser:
A Neural-Network-Based Convex Regularizer for Inverse Problems. IEEE Trans. Computational Imaging 9: 781-795 (2023) - [i8]Alexis Goujon, Sebastian Neumayer, Michael Unser:
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. CoRR abs/2308.10542 (2023) - 2022
- [i7]Alexis Goujon, Joaquim Campos, Michael Unser:
Stable Parametrization of Continuous and Piecewise-Linear Functions. CoRR abs/2203.05261 (2022) - [i6]Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser:
Approximation of Lipschitz Functions using Deep Spline Neural Networks. CoRR abs/2204.06233 (2022) - [i5]Alexis Goujon, Arian Etemadi, Michael Unser:
The Role of Depth, Width, and Activation Complexity in the Number of Linear Regions of Neural Networks. CoRR abs/2206.08615 (2022) - [i4]Mehrsa Pourya, Alexis Goujon, Michael Unser:
Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization. CoRR abs/2208.07787 (2022) - [i3]Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser:
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. CoRR abs/2210.16222 (2022) - [i2]Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser:
A Neural-Network-Based Convex Regularizer for Image Reconstruction. CoRR abs/2211.12461 (2022) - 2021
- [j1]Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser:
Shortest-support multi-spline bases for generalized sampling. J. Comput. Appl. Math. 395: 113610 (2021) - 2020
- [i1]Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser:
Shortest Multi-Spline Bases for Generalized Sampling. CoRR abs/2012.08954 (2020)
Coauthor Index
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