1 code implementation • 26 Jan 2024 • Iris Huijben, Matthijs Douze, Matthew Muckley, Ruud Van Sloun, Jakob Verbeek
In this paper, we propose QINCo, a neural RQ variant which predicts specialized codebooks per vector using a neural network that is conditioned on the approximation of the vector from previous steps.
no code implementations • 1 Jan 2021 • Lizeth Gonzalez Carabarin, Iris A.M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud Van Sloun
Deep Learning (DL) models are known to be heavily over-parametrized, resulting in a large memory footprint and power consumption.
no code implementations • 1 Jan 2021 • Hans van Gorp, Iris A.M. Huijben, Bastiaan S. Veeling, Nicola Pezzotti, Ruud Van Sloun
Subsampling a signal of interest can reduce costly data transfer, battery drain, radiation exposure and acquisition time in a wide range of problems.