1.3k citations · 4.9k across the 150 of their papers we have counts for
3 papers · 2 filters
Unsupervised Learning with Stein's Unbiased Risk Estimator
Christopher A. Metzler, Ali Mousavi, Reinhard Heckel +1
Learning from unlabeled and noisy data is one of the grand challenges of machine learning. As such, it has seen a flurry of research with new ideas proposed continuously. In this w…
Mad Max: Affine Spline Insights into Deep Learning
Randall Balestriero, Richard Baraniuk
We build a rigorous bridge between deep networks (DNs) and approximation theory via spline functions and operators. Our key result is that a large class of DNs can be written as a…
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan +1
Phase retrieval algorithms have become an important component in many modern computational imaging systems. For instance, in the context of ptychography and speckle correlation ima…