Alexis Goujon - RankMe

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures. CoRR Michael Unser, Alexis Goujon, Stanislas Ducotterd
2024	J	`jnl`	Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. J. Mach. Learn. Res. Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser
2024	J	`jnl`	Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. SIAM J. Imaging Sci. Alexis Goujon, Sebastian Neumayer, Michael Unser
2024	J	`jnl`	On the number of regions of piecewise linear neural networks. J. Comput. Appl. Math. Alexis Goujon, Arian Etemadi, Michael Unser
2023	J	`jnl`	A Neural-Network-Based Convex Regularizer for Inverse Problems. IEEE Trans. Computational Imaging Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser
2023	J	`jnl`	Approximation of Lipschitz Functions Using Deep Spline Neural Networks. SIAM J. Math. Data Sci. Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser
2023	J	`jnl`	Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. CoRR Alexis Goujon, Sebastian Neumayer, Michael Unser
2022	J	`jnl`	A Neural-Network-Based Convex Regularizer for Image Reconstruction. CoRR Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser
2022	J	`jnl`	Approximation of Lipschitz Functions using Deep Spline Neural Networks. CoRR Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser
2022	J	`jnl`	Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization. CoRR Mehrsa Pourya, Alexis Goujon, Michael Unser
2022	J	`jnl`	Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. CoRR Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser
2022	J	`jnl`	Stable Parametrization of Continuous and Piecewise-Linear Functions. CoRR Alexis Goujon, Joaquim Campos, Michael Unser
2022	J	`jnl`	The Role of Depth, Width, and Activation Complexity in the Number of Linear Regions of Neural Networks. CoRR Alexis Goujon, Arian Etemadi, Michael Unser
2021	J	`jnl`	Shortest-support multi-spline bases for generalized sampling. J. Comput. Appl. Math. Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser
2020	J	`jnl`	Shortest Multi-Spline Bases for Generalized Sampling. CoRR Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser