3 papers
eess.IV2026
A Single-Parameter Factor-Graph Image Prior
Tianyang Wang, Ender Konukoglu, Hans-Andrea Loeliger
We propose a novel piecewise smooth image model with piecewise constant local parameters that are automatically adapted to each image. Technically, the model is formulated in terms…
cs.NE2025
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
Hugo Aguettaz, Hans-Andrea Loeliger
The paper explores the capability of continuous-time recurrent neural networks to store and recall precisely timed scores of spike trains. We show (by numerical experiments) that t…
math.OC2025
Model-Predictive Control with NUP Priors
Raphael Keusch, Hans-Andrea Loeliger
Normals with unknown variance (NUV) and, more generally, normals with unknown parameters (NUP) can represent many useful priors including L_p norms and other sparsifying priors, an…