2.1k citations · 2.5k across the 9 of their papers we have counts for
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Model-Based Deep Learning
Nir Shlezinger, Jay Whang, Yonina C. Eldar +1
Signal processing, communications, and control have traditionally relied on classical statistical modeling techniques. Such model-based methods utilize mathematical formulations th…
Solving Inverse Problems with a Flow-based Noise Model
Jay Whang, Qi Lei, Alexandros G. Dimakis
We study image inverse problems with a normalizing flow prior. Our formulation views the solution as the maximum a posteriori estimate of the image conditioned on the measurements.…
Composing Normalizing Flows for Inverse Problems
Jay Whang, Erik M. Lindgren, Alexandros G. Dimakis
Given an inverse problem with a normalizing flow prior, we wish to estimate the distribution of the underlying signal conditioned on the observations. We approach this problem as a…