Modeling Sparse Deviations for Compressed Sensing using Generative Models

2 code implementations • ICML 2018 • Manik Dhar, Aditya Grover, Stefano Ermon

In compressed sensing, a small number of linear measurements can be used to reconstruct an unknown signal.

Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models

3 code implementations • 24 May 2017 • Aditya Grover, Manik Dhar, Stefano Ermon

Implicit models such as generative adversarial networks (GAN) often generate better samples compared to explicit models trained by maximum likelihood.

Generative Adversarial Network