Aaron Berk

Orcid: 0000-0001-9255-7030

According to our database1, Aaron Berk authored at least 9 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing.
SIAM J. Math. Data Sci., December, 2023

Model-adapted Fourier sampling for generative compressed sensing.
CoRR, 2023

Deep Proximal Gradient Method for Learned Convex Regularizers.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Coherence Parameter Characterizing Generative Compressed Sensing With Fourier Measurements.
IEEE J. Sel. Areas Inf. Theory, September, 2022

On the Best Choice of Lasso Program Given Data Parameters.
IEEE Trans. Inf. Theory, 2022

Learning from few examples: Classifying sex from retinal images via deep learning.
CoRR, 2022

2021
Deep Generative Demixing: Error Bounds for Demixing Subgaussian Mixtures of Lipschitz Signals.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures.
CoRR, 2020

2018
Parameter instability regimes for sparse proximal denoising programs.
CoRR, 2018


  Loading...