Low-rank Matrix Completion in a General Non-orthogonal Basis. - Abiy Tasissa; Rongjie Lai (CoRR, 2018)

Unlabeled sensing with local permutations. - Ahmed Ali Abbasi; Abiy Tasissa; Shuchin Aeron (CoRR, 2019)

Exact Reconstruction of Euclidean Distance Geometry Problem Using Low-Rank Matrix Completion. - Abiy Tasissa; Rongjie Lai (IEEE Trans. Inf. Theory, 2019)

Dense and Sparse Coding: Theory and Architectures. - Abiy Tasissa; Emmanouil Theodosis; Bahareh Tolooshams; Demba E. Ba (CoRR, 2020)

Manifold Learning and Deep Clustering with Local Dictionaries. - Pranay Tankala; Abiy Tasissa; James M. Murphy; Demba E. Ba (CoRR, 2020)

Deep Diffusion Processes for Active Learning of Hyperspectral Images. - Abiy Tasissa; Duc Nguyen; James M. Murphy (IGARSS, 2021)

Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality. - Abiy Tasissa; Pranay Tankala; Demba E. Ba (SSP, 2021)

On the convergence of group-sparse autoencoders. - Emmanouil Theodosis; Bahareh Tolooshams; Pranay Tankala; Abiy Tasissa; Demba E. Ba (CoRR, 2021)

Weighed 𝓁1 on the simplex: Compressive sensing meets locality. - Abiy Tasissa; Pranay Tankala; Demba E. Ba (CoRR, 2021)

r-local sensing: Improved algorithm and applications. - Ahmed Ali Abbasi; Abiy Tasissa; Shuchin Aeron (CoRR, 2021)

r-Local Unlabeled Sensing: Improved Algorithm and Applications. - Ahmed Ali Abbasi; Abiy Tasissa; Shuchin Aeron (ICASSP, 2022)

Measure Estimation in the Barycentric Coding Model. - Matthew Werenski; Ruijie Jiang; Abiy Tasissa; Shuchin Aeron; James M. Murphy (ICML, 2022)

A Recommender System for Equitable Public Art Curation and Installation. - Anna Haensch; Abiy Tasissa; Dina Deitsch (CoRR, 2022)

Geometric Sparse Coding in Wasserstein Space. - Marshall Mueller; Shuchin Aeron; James M. Murphy; Abiy Tasissa (CoRR, 2022)

Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing. - Ahmed Ali Abbasi; Abiy Tasissa; Shuchin Aeron (CoRR, 2022)

Geometrically Regularized Wasserstein Dictionary Learning. - Marshall Mueller; Shuchin Aeron; James M. Murphy; Abiy Tasissa (TAG-ML, 2023)

Sparse, Geometric Autoencoder Models of V1. - Jonathan Huml; Abiy Tasissa; Demba E. Ba (CoRR, 2023)

SHAPER: Can You Hear the Shape of a Jet? - Demba E. Ba; Akshunna S. Dogra; Rikab Gambhir; Abiy Tasissa; Jesse Thaler (CoRR, 2023)

A dual basis approach to multidimensional scaling: spectral analysis and graph regularity. - Samuel Lichtenberg; Abiy Tasissa (CoRR, 2023)

A Nyström method with missing distances. - Samuel Lichtenberg; Abiy Tasissa (CoRR, 2023)

K-Deep Simplex: Manifold Learning via Local Dictionaries. - Abiy Tasissa; Pranay Tankala; James M. Murphy; Demba E. Ba (IEEE Trans. Signal Process., 2023)

Nonlinear Unmixing of Hyperspectral Images via Regularized Wasserstein Dictionary Learning. - Scott Fullenbaum; Marshall Mueller; Abiy Tasissa; James M. Murphy (IGARSS, 2024)

Hyperspectral Image Clustering Via Learned Representation In Wasserstein Space. - Scott Fullenbaum; Marshall Mueller; Abiy Tasissa; James M. Murphy (IGARSS, 2024)

Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization. - Ipsita Ghosh; Abiy Tasissa; Christian Kümmerle (NeurIPS, 2024)

Clustering Inductive Biases with Unrolled Networks. - Jonathan Huml; Abiy Tasissa; Demba E. Ba (CoRR, 2024)

Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations. - Marshall Mueller; James M. Murphy; Abiy Tasissa (CoRR, 2024)

Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees. - Chandler Smith; HanQin Cai; Abiy Tasissa (CoRR, 2024)

Discriminative reconstruction via simultaneous dense and sparse coding. - Abiy Tasissa; Manos Theodosis; Bahareh Tolooshams; Demba E. Ba (Trans. Mach. Learn. Res., 2024)

Localization From Structured Distance Matrices via Low-Rank Matrix Recovery. - Samuel Lichtenberg; Abiy Tasissa (IEEE Trans. Inf. Theory, 2024)

Structured Sampling for Robust Euclidean Distance Geometry. - Chandra Kundu; Abiy Tasissa; HanQin Cai (CISS, 2025)

Alternating minimization algorithm for unlabeled sensing and linked linear regression. - Ahmed Ali Abbasi; Shuchin Aeron; Abiy Tasissa (Signal Process., 2025)

Prediction of the Power of Low-Power Networks Using Inertial Sensors. - Waltenegus Dargie; Christian Poellabauer; Abiy Tasissa (IEEE Trans. Instrum. Meas., 2025)

Prediction of the Received Power of Low-Power Networks Using Inertial Sensors. - Waltenegus Dargie; Christian Poellabauer; Abiy Tasissa (CoRR, 2025)

A Dual Basis Approach for Structured Robust Euclidean Distance Geometry. - Chandra Kundu; Abiy Tasissa; HanQin Cai (CoRR, 2025)

Robust Node Localization for Rough and Extreme Deployment Environments. - Abiy Tasissa; Waltenegus Dargie (CoRR, 2025)