Abiy Tasissa

Orcid: 0000-0003-4033-7735

According to our database1, Abiy Tasissa authored at least 25 papers between 2018 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations.
CoRR, 2024

Clustering Inductive Biases with Unrolled Networks.
CoRR, 2024

Hyperspectral Image Clustering Via Learned Representation In Wasserstein Space.
Proceedings of the IGARSS 2024, 2024

Nonlinear Unmixing of Hyperspectral Images via Regularized Wasserstein Dictionary Learning.
Proceedings of the IGARSS 2024, 2024

2023
K-Deep Simplex: Manifold Learning via Local Dictionaries.
IEEE Trans. Signal Process., 2023

A Nyström method with missing distances.
CoRR, 2023

A dual basis approach to multidimensional scaling: spectral analysis and graph regularity.
CoRR, 2023

SHAPER: Can You Hear the Shape of a Jet?
CoRR, 2023

Sparse, Geometric Autoencoder Models of V1.
CoRR, 2023

Geometrically Regularized Wasserstein Dictionary Learning.
Proceedings of the Topological, 2023

2022
Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing.
CoRR, 2022

Geometric Sparse Coding in Wasserstein Space.
CoRR, 2022

A Recommender System for Equitable Public Art Curation and Installation.
CoRR, 2022

Measure Estimation in the Barycentric Coding Model.
Proceedings of the International Conference on Machine Learning, 2022

r-Local Unlabeled Sensing: Improved Algorithm and Applications.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
r-local sensing: Improved algorithm and applications.
CoRR, 2021

Weighed 𝓁<sub>1</sub> on the simplex: Compressive sensing meets locality.
CoRR, 2021

On the convergence of group-sparse autoencoders.
CoRR, 2021

Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Deep Diffusion Processes for Active Learning of Hyperspectral Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Manifold Learning and Deep Clustering with Local Dictionaries.
CoRR, 2020

Dense and Sparse Coding: Theory and Architectures.
CoRR, 2020

2019
Exact Reconstruction of Euclidean Distance Geometry Problem Using Low-Rank Matrix Completion.
IEEE Trans. Inf. Theory, 2019

Unlabeled sensing with local permutations.
CoRR, 2019

2018
Low-rank Matrix Completion in a General Non-orthogonal Basis.
CoRR, 2018


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