k/K-Nearest Neighborhood Criterion for Improving Locally Linear Embedding. - Armin Eftekhari; Hamid Abrishami Moghaddam; Massoud Babaie-Zadeh (CGIV, 2009)

Two Dimensional Compressive Classifier for Sparse Images. - Armin Eftekhari; Hamid Abrishami Moghaddam; Massoud Babaie-Zadeh (CGIV, 2009)

k/K-Nearest Neighborhood Criterion for Improvement of Locally Linear Embedding. - Armin Eftekhari; Hamid Abrishami Moghaddam; Massoud Babaie-Zadeh (CAIP, 2009)

Robust-SL0 for stable sparse representation in noisy settings. - Armin Eftekhari; Massoud Babaie-Zadeh; Christian Jutten; Hamid Abrishami Moghaddam (ICASSP, 2009)

Two dimensional compressive classifier for sparse images. - Armin Eftekhari; Hamid Abrishami Moghaddam; Massoud Babaie-Zadeh; Mohammad Shahram Moin (ICIP, 2009)

Incremental Local Linear Fuzzy Classifier in Fisher Space. - Armin Eftekhari; Hamid Abrishami Moghaddam; Mohamad Forouzanfar; Javad Alirezaie (EURASIP J. Adv. Signal Process., 2009)

Endocardial boundary extraction in left ventricular echocardiographic images using fast and adaptive B-spline snake algorithm. - Mahdi Marsousi; Armin Eftekhari; Armen Kocharian; Javad Alirezaie (Int. J. Comput. Assist. Radiol. Surg., 2010)

Block-wise 2D kernel PCA/LDA for face recognition. - Armin Eftekhari; Mohamad Forouzanfar; Hamid Abrishami Moghaddam; Javad Alirezaie (Inf. Process. Lett., 2010)

The Restricted Isometry Property for block diagonal matrices. - Han Lun Yap; Armin Eftekhari; Michael B. Wakin; Christopher J. Rozell (CISS, 2011)

Two-dimensional random projection. - Armin Eftekhari; Massoud Babaie-Zadeh; Hamid Abrishami Moghaddam (Signal Process., 2011)

The Restricted Isometry Property for Random Block Diagonal Matrices - Armin Eftekhari; Han Lun Yap; Christopher J. Rozell; Michael B. Wakin (CoRR, 2012)

Greed is super: A new iterative method for super-resolution. - Armin Eftekhari; Michael B. Wakin (GlobalSIP, 2013)

New Analysis of Manifold Embeddings and Signal Recovery from Compressive Measurements. - Armin Eftekhari; Michael B. Wakin (CoRR, 2013)

Matched Filtering From Limited Frequency Samples. - Armin Eftekhari; Justin K. Romberg; Michael B. Wakin (IEEE Trans. Inf. Theory, 2013)

A first analysis of the stability of Takens' embedding. - Han Lun Yap; Armin Eftekhari; Michael B. Wakin; Christopher J. Rozell (GlobalSIP, 2014)

Computing active subspaces efficiently with gradient sketching. - Paul G. Constantine; Armin Eftekhari; Michael B. Wakin (CAMSAP, 2015)

Greed is Super: A Fast Algorithm for Super-Resolution. - Armin Eftekhari; Michael B. Wakin (CoRR, 2015)

SNIPE for Memory-Limited PCA From Incomplete Data. - Armin Eftekhari; Laura Balzano; Dehui Yang; Michael B. Wakin (CoRR, 2016)

Learning the Differential Correlation Matrix of a Smooth Function From Point Samples. - Armin Eftekhari; Ping Li 001; Michael B. Wakin; Rachel A. Ward (CoRR, 2016)

MC^2: A Two-Phase Algorithm for Leveraged Matrix Completion. - Armin Eftekhari; Michael B. Wakin; Rachel A. Ward (CoRR, 2016)

Learning the second-moment matrix of a smooth function from point samples. - Armin Eftekhari; Michael B. Wakin; Ping Li 001; Paul G. Constantine; Rachel A. Ward (ACSSC, 2017)

What Happens to a Manifold Under a Bi-Lipschitz Map? - Armin Eftekhari; Michael B. Wakin (Discret. Comput. Geom., 2017)

What to Expect When You Are Expecting on the Grassmannian. - Armin Eftekhari; Laura Balzano; Michael B. Wakin (IEEE Signal Process. Lett., 2017)

Non-Negative Super-Resolution is Stable. - Armin Eftekhari; Jared Tanner; Andrew Thompson 001; Bogdan Toader; Hemant Tyagi (DSW, 2018)

PCA by Determinant Optimisation has no Spurious Local Optima. - Raphael A. Hauser; Armin Eftekhari; Heinrich F. Matzinger (KDD, 2018)

Sparse non-negative super-resolution - simplified and stabilised. - Armin Eftekhari; Jared Tanner; Andrew Thompson 001; Bogdan Toader; Hemant Tyagi (CoRR, 2018)

Stable Super-Resolution of Images. - Armin Eftekhari; Tamir Bendory; Gongguo Tang (CoRR, 2018)

Weighted Matrix Completion and Recovery With Prior Subspace Information. - Armin Eftekhari; Dehui Yang; Michael B. Wakin (IEEE Trans. Inf. Theory, 2018)

Fast and Provable ADMM for Learning with Generative Priors. - Fabian Latorre; Armin Eftekhari; Volkan Cevher (NeurIPS, 2019)

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints. - Mehmet Fatih Sahin; Armin Eftekhari; Ahmet Alacaoglu; Fabian Latorre; Volkan Cevher (NeurIPS, 2019)

Fast and Provable ADMM for Learning with Generative Priors. - Fabian Latorre Gómez; Armin Eftekhari; Volkan Cevher (CoRR, 2019)

Streaming Principal Component Analysis From Incomplete Data. - Armin Eftekhari; Gregory Ongie; Laura Balzano; Michael B. Wakin (J. Mach. Learn. Res., 2019)

Sparse Inverse Problems over Measures: Equivalence of the Conditional Gradient and Exchange Methods. - Armin Eftekhari; Andrew Thompson 001 (SIAM J. Optim., 2019)

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. - Thomas Sanchez; Baran Gözcü; Ruud B. van Heeswijk; Armin Eftekhari; Efe Ilicak; Tolga Çukur; Volkan Cevher (ICASSP, 2020)

Training Linear Neural Networks: Non-Local Convergence and Complexity Results. - Armin Eftekhari (ICML, 2020)

Double-Loop Unadjusted Langevin Algorithm. - Paul Rolland; Armin Eftekhari; Ali Kavis; Volkan Cevher (ICML, 2020)

Implicit Regularization in Matrix Sensing: A Geometric View Leads to Stronger Results. - Armin Eftekhari; Konstantinos Zygalakis (CoRR, 2020)

MOSES: A Streaming Algorithm for Linear Dimensionality Reduction. - Armin Eftekhari; Raphael A. Hauser; Andreas Grammenos (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Principal Component Analysis by Optimization of Symmetric Functions has no Spurious Local Optima. - Armin Eftekhari; Raphael A. Hauser (SIAM J. Optim., 2020)

Principal Component Hierarchy for Sparse Quadratic Programs. - Robbie Vreugdenhil; Viet Anh Nguyen; Armin Eftekhari; Peyman Mohajerin Esfahani (ICML, 2021)

Subquadratic Overparameterization for Shallow Neural Networks. - Chaehwan Song; Ali Ramezani-Kebrya; Thomas Pethick; Armin Eftekhari; Volkan Cevher (NeurIPS, 2021)

The Nonconvex Geometry of Linear Inverse Problems. - Armin Eftekhari; Peyman Mohajerin Esfahani (CoRR, 2021)

Nonlinear matrix recovery using optimization on the Grassmann manifold. - Florentin Goyens; Coralia Cartis; Armin Eftekhari (CoRR, 2021)

Over-Parametrized Matrix Factorization in the Presence of Spurious Stationary Points. - Armin Eftekhari (IEEE Trans. Signal Process., 2022)

The forward-backward envelope for sampling with the overdamped Langevin algorithm. - Armin Eftekhari; Luis Vargas; Konstantinos C. Zygalakis (Stat. Comput., 2023)

Computing Second-Order Points Under Equality Constraints: Revisiting Fletcher's Augmented Lagrangian. - Florentin Goyens; Armin Eftekhari; Nicolas Boumal (J. Optim. Theory Appl., 2024)