2020
Deep probabilistic subsampling for task-adaptive compressed sensing
ICLR 2020poster
The field of deep learning is commonly concerned with optimizing predictive models using large pre-acquired datasets of densely sampled datapoints or signals. In this work, we demonstrate that the deep learning paradigm can be extended to incorporate a subsampling scheme that is jointly optimized un…