227 citations · 786 across the 29 of their papers we have counts for
4 papers · 1 filter
Inference with Deep Generative Priors in High Dimensions
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan +2
Deep generative priors offer powerful models for complex-structured data, such as images, audio, and text. Using these priors in inverse problems typically requires estimating the…
Input-Output Equivalence of Unitary and Contractive RNNs
M. Emami, M. Sahraee-Ardakan, S. Rangan +1
Unitary recurrent neural networks (URNNs) have been proposed as a method to overcome the vanishing and exploding gradient problem in modeling data with long-term dependencies. A ba…
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini +2
We consider the problem of estimating the parameters of a multivariate Bernoulli process with auto-regressive feedback in the high-dimensional setting where the number of samples a…
Asymptotics of MAP Inference in Deep Networks
Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan +1
Deep generative priors are a powerful tool for reconstruction problems with complex data such as images and text. Inverse problems using such models require solving an inference pr…