Aaron Berk

According to our database, Aaron Berk authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Square Root LASSO: Well-Posedness, Lipschitz Stability, and the Tuning Trade-Off.

Aaron Berk, Simone Brugiapaglia, Tim Hoheisel

SIAM J. Optim., 2024

2023

LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing.

Aaron Berk, Simone Brugiapaglia, Tim Hoheisel

SIAM J. Math. Data Sci., December, 2023

Model-adapted Fourier sampling for generative compressed sensing.

Aaron Berk, Simone Brugiapaglia, Yaniv Plan, Matthew Scott, Xia Sheng, Özgür Yilmaz

CoRR, 2023

Deep Proximal Gradient Method for Learned Convex Regularizers.

Aaron Berk, Yanting Ma, Petros Boufounos, Pu Wang, Hassan Mansour

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Coherence Parameter Characterizing Generative Compressed Sensing With Fourier Measurements.

Aaron Berk, Simone Brugiapaglia, Babhru Joshi, Yaniv Plan, Matthew Scott, Özgür Yilmaz

IEEE J. Sel. Areas Inf. Theory, September, 2022

On the Best Choice of Lasso Program Given Data Parameters.

Aaron Berk, Yaniv Plan, Özgür Yilmaz

IEEE Trans. Inf. Theory, 2022

Learning from few examples: Classifying sex from retinal images via deep learning.

Aaron Berk, Gulcenur Ozturan, Parsa Delavari, David Maberley, Özgür Yilmaz, Ipek Oruc

CoRR, 2022

2021

Deep Generative Demixing: Error Bounds for Demixing Subgaussian Mixtures of Lipschitz Signals.

Aaron Berk

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures.

Aaron Berk

CoRR, 2020

2018

Parameter instability regimes for sparse proximal denoising programs.

Aaron Berk, Yaniv Plan, Özgür Yilmaz

CoRR, 2018