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03/10/2023
Compressive Sensing with Tensorized Autoencoder
Deep networks can be trained to map images into a low-dimensional latent...
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07/19/2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task learning (ITL) is a category of continual learning that...
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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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07/29/2020
Solving Phase Retrieval with a Learned Reference
Fourier phase retrieval is a classical problem that deals with the recov...
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03/21/2020
Non-Adversarial Video Synthesis with Learned Priors
Most of the existing works in video synthesis focus on generating videos...
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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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02/25/2019
