Victor Sechaud

According to our database, Victor Sechaud authored at least 5 papers between 2024 and 2026.

Collaborative distances:

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

2026

Learning to reconstruct from saturated data: audio declipping and high-dynamic range imaging.

Victor Sechaud, Laurent Jacques, Patrice Abry, Julián Tachella

Trans. Mach. Learn. Res., 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

Equivariant Splitting: Self-supervised learning from incomplete data.

Victor Sechaud, Jérémy Scanvic, Quentin Barthélemy, Patrice Abry, Julián Tachella

CoRR, October, 2025

Self-supervised learning for phase retrieval.

Victor Sechaud, Patrice Abry, Laurent Jacques, Julián Tachella

CoRR, September, 2025

2024

Equivariance-Based Self-Supervised Learning for Audio Signal Recovery from Clipped Measurements.

Victor Sechaud, Laurent Jacques, Patrice Abry, Julián Tachella

Proceedings of the 32nd European Signal Processing Conference, 2024