Koen C. E. van de Camp

Active Subsampling Using Deep Generative Models by Maximizing Expected Information Gain

We introduce an adaptive, fully probabilistic pipeline for optimized signal subsampling in sampling-budget constrained systems. Our pipeline equips an agent with a deep generative model of its measurement-generating environment with which it infers posterior distributions over high-dimensional signa…