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02/19/2021
Analysis of Growing Tumor on the Flow Velocity of Cerebrospinal Fluid in Human Brain Using Computational Modeling and Fluid-Structure Interaction
Cerebrospinal fluid (CSF) plays a pivotal role in normal functioning of ...
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11/19/2020
Inverse Constrained Reinforcement Learning
Standard reinforcement learning (RL) algorithms train agents to maximize...
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05/13/2020
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors
Recently pretrained generative models have shown promising results for s...
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03/26/2020
Learning To Solve Differential Equations Across Initial Conditions
Recently, there has been a lot of interest in using neural networks for ...
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02/28/2020
Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior
In this paper, we consider the highly ill-posed problem of jointly recov...
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10/19/2019
Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing
This paper considers efficient sampling of simultaneously sparse and cor...
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08/20/2019
Blind Image Deconvolution using Pretrained Generative Priors
This paper proposes a novel approach to regularize the ill-posed blind i...
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06/25/2019
Bilinear Compressed Sensing under known Signs via Convex Programming
We consider the bilinear inverse problem of recovering two vectors, x∈R^...
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05/28/2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias
Trained generative models have shown remarkable performance as priors fo...
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04/26/2019
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
We consider the task of recovering two real or complex m-vectors from ph...
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12/22/2018
Deep Ptych: Subsampled Fourier Ptychography using Generative Priors
This paper proposes a novel framework to regularize the highly ill-posed...
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11/29/2018
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising
Among the plethora of techniques devised to curb the prevalence of noise...
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11/20/2018
Blind Deconvolution using Modulated Inputs
This paper considers the blind deconvolution of multiple modulated signa...
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09/22/2018
A convex program for bilinear inversion of sparse vectors
We consider the bilinear inverse problem of recovering two vectors, x∈R^...
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08/17/2018
Robust Compressive Phase Retrieval via Deep Generative Priors
This paper proposes a new framework to regularize the highly ill-posed a...
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06/21/2018
Blind Deconvolutional Phase Retrieval via Convex Programming
We consider the task of recovering two real or complex m-vectors from ph...
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02/12/2018