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Chris Metzler

1 accepted papers

2017

Learned D-AMP: Principled Neural Network based Compressive Image Recovery

NeurIPS 2017poster

Compressive image recovery is a challenging problem that requires fast and accurate algorithms. Recently, neural networks have been applied to this problem with promising results. By exploiting massively parallel GPU processing architectures and oodles of training data, they can run orders of magnit…