3 papers
cs.LG2025
A Unified Framework for Lifted Training and Inversion Approaches
Xiaoyu Wang, Alexandra Valavanis, Azhir Mahmood +3
The training of deep neural networks predominantly relies on a combination of gradient-based optimisation and back-propagation for the computation of the gradient. While incredibly…
math.OC2024
A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers
Xiaoyu Wang, Martin Benning, Audrey Repetti
Unfolded proximal neural networks (PNNs) form a family of methods that combines deep learning and proximal optimization approaches. They consist in designing a neural network for a…
stat.ME2023
A Plug-and-Play Method with Inpainting Network for Bayesian Uncertainty Quantification in Imaging
Xiaoyu Wang, Michael Tang, Audrey Repetti
We contribute to an uncertainty quantification problem in imaging that evaluates a hypothesis test questioning the existence of local "artefacts" appearing in the maximum a posteri…