19 citations · 54 across the 25 of their papers we have counts for
4 papers · 1 filter
r-local sensing: Improved algorithm and applications
Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron
The unlabeled sensing problem is to solve a noisy linear system of equations under unknown permutation of the measurements. We study a particular case of the problem where the perm…
Weighed l1 on the simplex: Compressive sensing meets locality
Abiy Tasissa, Pranay Tankala, Demba Ba
Sparse manifold learning algorithms combine techniques in manifold learning and sparse optimization to learn features that could be utilized for downstream tasks. The standard sett…
On the convergence of group-sparse autoencoders
Emmanouil Theodosis, Bahareh Tolooshams, Pranay Tankala +2
Recent approaches in the theoretical analysis of model-based deep learning architectures have studied the convergence of gradient descent in shallow ReLU networks that arise from g…
Deep Diffusion Processes for Active Learning of Hyperspectral Images
Abiy Tasissa, Duc Nguyen, James Murphy
A method for active learning of hyperspectral images (HSI) is proposed, which combines deep learning with diffusion processes on graphs. A deep variational autoencoder extracts smo…