248 citations · 771 across the 28 of their papers we have counts for
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math.OC2022
A Variational Inequality Model for Learning Neural Networks
Patrick L. Combettes, Jean-Christophe Pesquet, Audrey Repetti
Neural networks have become ubiquitous tools for solving signal and image processing problems, and they often outperform standard approaches. Nevertheless, training neural networks…
stat.ME2022★ 3 cited
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
Sampling-based algorithms are classical approaches to perform Bayesian inference in inverse problems. They provide estimators with the associated credibility intervals to quantify…