Salar Fattahi

University of Michigan — United States

Engineering · Physical Sciences

11h-index397citations69works0.72yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(27), Statistical Methods and Inference(13), Optimal Power Flow Distribution(9), Electric Power System Optimization(7), Advanced Optimization Algorithms Research(7)

Publications69 total

Efficient inference of dynamic gene regulatory networks using discrete penalty
arXiv (Cornell University)·2025Open Access
Can Learning Be Explained by Local Optimality in Robust Low-Rank Matrix Recovery?
Mathematics of Operations Research·2025
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
SIAM Journal on Mathematics of Data Science·2025· 1 citedOpen Access
A parametric approach for solving convex quadratic optimization with indicators over trees
Mathematical Programming·2025· 1 citedOpen Access
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
arXiv (Cornell University)·2025· 5 citedOpen Access
RANSAC Revisited: An Improved Algorithm for Robust Subspace Recovery under Adversarial and Noisy Corruptions
arXiv (Cornell University)·2025Open Access
Enhancing Performance of Explainable AI Models with Constrained Concept Refinement
arXiv (Cornell University)·2025Open Access
A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees
arXiv (Cornell University)·2024Open Access
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
arXiv (Cornell University)·2024Open Access
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
arXiv (Cornell University)·2024Open Access
Solution Path of Time-varying Markov Random Fields with Discrete Regularization
arXiv (Cornell University)·2023Open Access
Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics·2023· 3 citedOpen Access
Heterogeneous Matrix Factorization: When Features Differ by Datasets
arXiv (Cornell University)·2023· 2 citedOpen Access
Personalized Dictionary Learning for Heterogeneous Datasets
arXiv (Cornell University)·2023· 1 citedOpen Access
Sparse Mean Estimation in Adversarial Settings via Incremental Learning
arXiv (Cornell University)·2023Open Access
Can Learning Be Explained By Local Optimality In Robust Low-rank Matrix Recovery?
arXiv (Cornell University)·2023Open Access
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
arXiv (Cornell University)·2022Open Access
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
arXiv (Cornell University)·2022Open Access
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
arXiv (Cornell University)·2022· 1 citedOpen Access
Efficient Inference of Spatially-varying Gaussian Markov Random Fields with Applications in Gene Regulatory Networks
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Somayeh Sojoudi(18), Javad Lavaei(16), Richard Y. Zhang(5), Alper Atamtürk(4), Andrés Gómez(4), Nikolai Matni(3), Cédric Josz(3), Morteza Ashraphijuo(2), Ghazal Fazelnia(2), Murat Arcak(2), Si̇mge Küçükyavuz(2), Julie Mulvaney-Kemp(2), Reza Mohammadi Chabanloo(2), Jianhao Ma(2), Tongwen Xu(2), Wajd N. Al‐Holou(2), Arvind Rao(2), Naichen Shi(2), Raed Al Kontar(2), Jianhao Ma(2)