44 citations · 48 across the 7 of their papers we have counts for
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eess.SP2023
An Efficient Algorithm for Clustered Multi-Task Compressive Sensing
Alexander Lin, Demba Ba
This paper considers clustered multi-task compressive sensing, a hierarchical model that solves multiple compressive sensing tasks by finding clusters of tasks that leverage shared…
cs.LG2023★ 1 cited
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
Alexander Lin, Bahareh Tolooshams, Yves Atchadé +1
Latent Gaussian models have a rich history in statistics and machine learning, with applications ranging from factor analysis to compressed sensing to time series analysis. The cla…