52 citations · 270 across the 19 of their papers we have counts for
4 papers · 1 filter
Losing momentum in continuous-time stochastic optimisation
Kexin Jin, Jonas Latz, Chenguang Liu +1
The training of modern machine learning models often consists in solving high-dimensional non-convex optimisation problems that are subject to large-scale data. In this context, mo…
Joint reconstruction-segmentation on graphs
Jeremy Budd, Yves van Gennip, Jonas Latz +2
Practical image segmentation tasks concern images which must be reconstructed from noisy, distorted, and/or incomplete observations. A recent approach for solving such tasks is to…
Gaussian random fields on non-separable Banach spaces
Yury Korolev, Jonas Latz, Carola-Bibiane Schönlieb
We study Gaussian random fields on certain Banach spaces and investigate conditions for their existence. Our results apply inter alia to spaces of Radon measures and Hölder functio…
Gradient flows and randomised thresholding: sparse inversion and classification
Jonas Latz
Sparse inversion and classification problems are ubiquitous in modern data science and imaging. They are often formulated as non-smooth minimisation problems. In sparse inversion,…