157 citations · 285 across the 16 of their papers we have counts for
16 papers
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…
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…
A Distributed Adaptive Algorithm for Node-Specific Signal Fusion Problems in Wireless Sensor Networks
Cem Ates Musluoglu, Alexander Bertrand
Wireless sensor networks consist of sensor nodes that are physically distributed over different locations. Spatial filtering procedures exploit the spatial correlation across these…
Bandwidth-efficient distributed neural network architectures with application to body sensor networks
Thomas Strypsteen, Alexander Bertrand
In this paper, we describe a conceptual design methodology to design distributed neural network architectures that can perform efficient inference within sensor networks with commu…
A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems
Charles Hovine, Alexander Bertrand
Computing the optimal solution to a spatial filtering problems in a Wireless Sensor Network can incur large bandwidth and computational requirements if an approach relying on data…
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses
Simon Geirnaert, Tom Francart, Alexander Bertrand
In brain-computer interface or neuroscience applications, generalized canonical correlation analysis (GCCA) is often used to extract correlated signal components in the neural acti…