Leo Davy

According to our database, Leo Davy authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Revisiting deep information propagation: Fractal frontier and finite-size effects.

Giuseppe Alessio D'Inverno, Zhiyuan Hu, Leo Davy, Michael Unser, Gianluigi Rozza, Jonathan Dong

Neural Networks, 2026

2025

DeepInverse: A Python package for solving imaging inverse problems with deep learning.

Julián Tachella, Matthieu Terris, Samuel Hurault, Andrew Wang, Leo Davy, Jérémy Scanvic, Victor Sechaud, Romain Vo, Thomas Moreau, Thomas Davies, Dongdong Chen, Nils Laurent, Brayan Monroy, Jonathan Dong, Zhiyuan Hu, Minh-Hai Nguyen, Florian Sarron, Pierre Weiss, Paul Escande, Mathurin Massias, Thibaut Modrzyk, Brett Levac, Tobías I. Liaudat, Maxime Song, Johannes Hertrich, Sebastian Neumayer, Georg Schramm

J. Open Source Softw., December, 2025

Restarted contractive operators to learn at equilibrium.

Leo Davy, Luis M. Briceño-Arias, Nelly Pustelnik

CoRR, June, 2025

Segmentation de textures anisotropes et invariantes d'échelles: ondelettes complexes multibandes, optimisation variationnelle et biniveau, réseaux de neurones informés. (Segmentation of anisotropic and scale-free textures: Complex multiband wavelets, variational and bilevel optimisation, informed neural networks).

Leo Davy

PhD thesis, 2025

2024

Restart Strategies Enabling Automatic Differentiation for Hyperparameter Tuning in Inverse Problems.

Leo Davy, Nelly Pustelnik, Patrice Abry

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Combining Dual-Tree Wavelet Analysis and Proximal Optimization for Anisotropic Scale-Free Texture Segmentation.

Leo Davy, Nelly Pustelnik, Patrice Abry

Proceedings of the IEEE International Conference on Acoustics, 2023