Daniele Gerosa (Former)
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- 2022
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Mark
Non-Convex Methods for Compressed Sensing and Low-Rank Matrix Problems
(2022)
- Thesis › Doctoral thesis (compilation)
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Mark
Bias Versus Non-Convexity in Compressed Sensing
- Contribution to journal › Article
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Mark
AN UNBIASED APPROACH TO LOW RANK RECOVERY
- Contribution to journal › Article
- 2021
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Mark
Relaxations for Non-Separable Cardinality/Rank Penalties
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A trace theorem for Martinet-type vector fields
- Contribution to journal › Article
- 2020
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Mark
On phase retrieval via matrix completion and the estimation of low rank PSD matrices
- Contribution to journal › Article
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Mark
An unbiased approach to compressed sensing
- Contribution to journal › Article