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Aaron Berk
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 13
Top Topics
Gradient Method
Basis Pursuit
Retinal Images
Compressed Sensing
Top Venues
CoRR
ICASSP
IEEE Trans. Inf. Theory
SIAM J. Optim.
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Publications
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Aaron Berk
,
Simone Brugiapaglia
,
Tim Hoheisel
Square Root LASSO: Well-Posedness, Lipschitz Stability, and the Tuning Trade-Off.
SIAM J. Optim.
34 (3) (2024)
Aaron Berk
,
Yanting Ma
,
Petros Boufounos
,
Pu Wang
,
Hassan Mansour
Deep Proximal Gradient Method for Learned Convex Regularizers.
ICASSP
(2023)
Aaron Berk
,
Simone Brugiapaglia
,
Tim Hoheisel
LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing.
SIAM J. Math. Data Sci.
5 (4) (2023)
Aaron Berk
,
Simone Brugiapaglia
,
Yaniv Plan
,
Matthew Scott
,
Xia Sheng
,
Özgür Yilmaz
Model-adapted Fourier sampling for generative compressed sensing.
CoRR
(2023)
Aaron Berk
,
Gulcenur Ozturan
,
Parsa Delavari
,
David Maberley
,
Özgür Yilmaz
,
Ipek Oruc
Learning from few examples: Classifying sex from retinal images via deep learning.
CoRR
(2022)
Aaron Berk
,
Simone Brugiapaglia
,
Tim Hoheisel
LASSO reloaded: a variational analysis perspective with applications to compressed sensing.
CoRR
(2022)
Aaron Berk
,
Simone Brugiapaglia
,
Babhru Joshi
,
Yaniv Plan
,
Matthew Scott
,
Özgür Yilmaz
A Coherence Parameter Characterizing Generative Compressed Sensing With Fourier Measurements.
IEEE J. Sel. Areas Inf. Theory
3 (3) (2022)
Aaron Berk
,
Simone Brugiapaglia
,
Babhru Joshi
,
Yaniv Plan
,
Matthew Scott
,
Özgür Yilmaz
A coherence parameter characterizing generative compressed sensing with Fourier measurements.
CoRR
(2022)
Aaron Berk
,
Yaniv Plan
,
Özgür Yilmaz
On the Best Choice of Lasso Program Given Data Parameters.
IEEE Trans. Inf. Theory
68 (4) (2022)
Aaron Berk
Deep Generative Demixing: Error Bounds for Demixing Subgaussian Mixtures of Lipschitz Signals.
ICASSP
(2021)
Aaron Berk
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures.
CoRR
(2020)
Aaron Berk
,
Yaniv Plan
,
Özgür Yilmaz
On the best choice of Lasso program given data parameters.
CoRR
(2020)
Aaron Berk
,
Yaniv Plan
,
Özgür Yilmaz
Parameter instability regimes for sparse proximal denoising programs.
CoRR
(2018)