2 papers
cs.LG2024
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks
Thomas Strypsteen, Alexander Bertrand
In this paper, we introduce Conditional Gumbel-Softmax as a method to perform end-to-end learning of the optimal feature subset for a given task and deep neural network (DNN) model…
cs.LG2023
A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks
Thomas Strypsteen, Alexander Bertrand
We propose a dynamic sensor selection approach for deep neural networks (DNNs), which is able to derive an optimal sensor subset selection for each specific input sample instead of…