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10/26/2021
CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data
Artifact removal is an integral component of cinematic scientific visual...
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05/13/2021
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models
The traditional approach of hand-crafting priors (such as sparsity) for ...
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06/04/2019
Encoding Invariances in Deep Generative Models
Reliable training of generative adversarial networks (GANs) typically re...
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03/07/2019
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval
The classical problem of phase retrieval arises in various signal acquis...
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12/03/2018
Signal Reconstruction from Modulo Observations
We consider the problem of reconstructing a signal from under-determined...
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11/21/2018
Physics-aware Deep Generative Models for Creating Synthetic Microstructures
A key problem in computational material science deals with understanding...
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02/23/2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
In recent works, both sparsity-based methods as well as learning-based m...
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09/29/2017