1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula, Georgios Smyrnis, Matt Jordan +1
We study a new family of inverse problems for recovering representations of corrupted data. We assume access to a pre-trained representation learning network R(x) that operates on…
cs.LG2019★ 1 cited
One-dimensional Deep Image Prior for Time Series Inverse Problems
Sriram Ravula, Alexandros G. Dimakis
We extend the Deep Image Prior (DIP) framework to one-dimensional signals. DIP is using a randomly initialized convolutional neural network (CNN) to solve linear inverse problems b…