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Inference with Deep Generative Priors in High Dimensions

Inference with Deep Generative Priors in High Dimensions

8 November 2019
Jillian R. Fisher
Mojtaba Sahraee-Ardakan
S. Rangan
Zaid Harchaoui
Yejin Choi
    BDL
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Papers citing "Inference with Deep Generative Priors in High Dimensions"

9 / 9 papers shown
Title
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN
  sampler
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler
Jiayu Qian
Yuanyuan Liu
Jingya Yang
Qingping Zhou
23
0
0
24 Oct 2023
Label-Free Explainability for Unsupervised Models
Label-Free Explainability for Unsupervised Models
Jonathan Crabbé
M. Schaar
FAtt
MILM
24
22
0
03 Mar 2022
Robust Compressed Sensing MRI with Deep Generative Priors
Robust Compressed Sensing MRI with Deep Generative Priors
A. Jalal
Marius Arvinte
Giannis Daras
Eric Price
A. Dimakis
Jonathan I. Tamir
MedIm
41
322
0
03 Aug 2021
Instance-Optimal Compressed Sensing via Posterior Sampling
Instance-Optimal Compressed Sensing via Posterior Sampling
A. Jalal
Sushrut Karmalkar
A. Dimakis
Eric Price
26
51
0
21 Jun 2021
Robust Compressed Sensing using Generative Models
Robust Compressed Sensing using Generative Models
A. Jalal
Liu Liu
A. Dimakis
C. Caramanis
21
39
0
16 Jun 2020
Deep S$^3$PR: Simultaneous Source Separation and Phase Retrieval Using
  Deep Generative Models
Deep S3^33PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
Christopher A. Metzler
Gordon Wetzstein
20
11
0
14 Feb 2020
Inference in Multi-Layer Networks with Matrix-Valued Unknowns
Inference in Multi-Layer Networks with Matrix-Valued Unknowns
Parthe Pandit
Mojtaba Sahraee-Ardakan
S. Rangan
P. Schniter
A. Fletcher
20
6
0
26 Jan 2020
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
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