46 citations · 59 across the 6 of their papers we have counts for
3 papers · 1 filter
Active Diffusion Subsampling
Oisin Nolan, Tristan S. W. Stevens, Wessel L. van Nierop +1
Subsampling is commonly used to mitigate costs associated with data acquisition, such as time or energy requirements, motivating the development of algorithms for estimating the fu…
Removing Structured Noise with Diffusion Models
Tristan S. W. Stevens, Hans van Gorp, Faik C. Meral +4
Solving ill-posed inverse problems requires careful formulation of prior beliefs over the signals of interest and an accurate description of their manifestation into noisy measurem…
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
Iris A. M. Huijben, Arthur A. Nijdam, Sebastiaan Overeem +2
Continuous monitoring with an ever-increasing number of sensors has become ubiquitous across many application domains. However, acquired time series are typically high-dimensional…