Manolis C. Tsakiris

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 48

Top Topics

Subgraph Mining

Matrix Completion

Missing Entries

Subspace Clustering

Top Venues

Publications

Taulant Koka, Manolis C. Tsakiris, Michael Muma, Benjamín Béjar Haro
Shuffled multi-channel sparse signal recovery. Signal Process. 224 (2024)
Hao Liang, Jingyu Lu, Manolis C. Tsakiris, Lihong Zhi
Unlabeled Sensing Using Rank-One Moment Matrix Completion. ISSAC (2024)
Wanting Xu, Lan Hu, Manolis C. Tsakiris, Laurent Kneip
Online Stability Improvement of Groebner Basis Solvers using Deep Learning. CoRR (2024)
Manolis C. Tsakiris
Matrix Recovery from Permutations: An Algebraic Geometry Approach. ISIT (2023)
Manolis C. Tsakiris
Low-Rank Matrix Completion Theory via Plücker Coordinates. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Hao Liang, Jingyu Lu, Manolis C. Tsakiris, Lihong Zhi
A Field-Theoretic Approach to Unlabeled Sensing. CoRR (2023)
Liangzu Peng, Manolis C. Tsakiris, René Vidal
ARCS: Accurate Rotation and Correspondence Search. CoRR (2022)
Manolis C. Tsakiris
Ladder Matrix Recovery from Permutations. CoRR (2022)
Liangzu Peng, Manolis C. Tsakiris, René Vidal
ARCS: Accurate Rotation and Correspondence Search. CVPR (2022)
Liangzu Peng, Boshi Wang, Manolis C. Tsakiris
Homomorphic Sensing: Sparsity and Noise. ICML (2021)
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
Unlabeled Principal Component Analysis. CoRR (2021)
Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS (2021)
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
Unlabeled Principal Component Analysis. NeurIPS (2021)
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
Unsigned Matrix Completion. ISIT (2021)
Yunchen Yang, Xinyue Zhang, Tianjiao Ding, Daniel P. Robinson, René Vidal, Manolis C. Tsakiris
Boosting RANSAC via Dual Principal Component Pursuit. CoRR (2021)
Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris
Robust Homography Estimation via Dual Principal Component Pursuit. CVPR (2020)
Manolis C. Tsakiris
An exposition to the finiteness of fibers in matrix completion via Plücker coordinates. CoRR (2020)
Manolis C. Tsakiris
Finiteness of fibers in matrix completion via Plücker coordinates. CoRR (2020)
Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. CoRR (2020)
Liangzu Peng, Boshi Wang, Manolis C. Tsakiris
Homomorphic Sensing of Subspace Arrangements. CoRR (2020)
Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi
An Algebraic-Geometric Approach for Linear Regression Without Correspondences. IEEE Trans. Inf. Theory 66 (8) (2020)
Liangzu Peng, Manolis C. Tsakiris
Linear Regression without Correspondences via Concave Minimization. CoRR (2020)
Liangzu Peng, Manolis C. Tsakiris
Linear Regression Without Correspondences via Concave Minimization. IEEE Signal Process. Lett. 27 (2020)
Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal
Classifying and Comparing Approaches to Subspace Clustering with Missing Data. ICCV Workshops (2019)
Wanting Xu, Lan Hu, Manolis C. Tsakiris, Laurent Kneip
Online Stability Improvement of Gröbner Basis Solvers using Deep Learning. 3DV (2019)
Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
Noisy Dual Principal Component Pursuit. ICML (2019)
Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS (2019)
Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, Yuanming Shi
Algebraically-initialized Expectation Maximization for Header-free Communication. ICASSP (2019)
Manolis C. Tsakiris, Liangzu Peng
Homomorphic Sensing. CoRR (2019)
Manolis C. Tsakiris, Liangzu Peng
Homomorphic Sensing. ICML (2019)
Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms. CoRR (2018)
Manolis C. Tsakiris
Eigenspace conditions for homomorphic sensing. CoRR (2018)
Manolis C. Tsakiris, René Vidal
Dual Principal Component Pursuit. J. Mach. Learn. Res. 19 (2018)
Manolis C. Tsakiris, René Vidal
Algebraic Clustering of Affine Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 40 (2) (2018)
Manolis C. Tsakiris, René Vidal
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries. ICML (2018)
Manolis C. Tsakiris, René Vidal
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries. CoRR (2018)
Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms. NeurIPS (2018)
Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi
An Algebraic-Geometric Approach to Shuffled Linear Regression. CoRR (2018)
Manolis C. Tsakiris, René Vidal
Hyperplane Clustering Via Dual Principal Component Pursuit. CoRR (2017)
Manolis C. Tsakiris, René Vidal
Filtrated Algebraic Subspace Clustering. SIAM J. Imaging Sci. 10 (1) (2017)
Manolis C. Tsakiris, René Vidal
Hyperplane Clustering via Dual Principal Component Pursuit. ICML (2017)
Manolis C. Tsakiris, René Vidal
Algebraic Clustering of Affine Subspaces. CoRR (2015)
Manolis C. Tsakiris, René Vidal
Dual Principal Component Pursuit. ICCV Workshops (2015)
Manolis C. Tsakiris, René Vidal
Abstract Algebraic Subspace Clustering. CoRR (2015)
Manolis C. Tsakiris, René Vidal
Dual Principal Component Pursuit. CoRR (2015)
Manolis C. Tsakiris, René Vidal
Filtrated Spectral Algebraic Subspace Clustering. ICCV Workshops (2015)
Manolis C. Tsakiris, René Vidal
Filtrated Spectral Algebraic Subspace Clustering. CoRR (2015)
Manolis C. Tsakiris, Danielle C. Tarraf
Algebraic decompositions of DP problems with linear dynamics. Syst. Control. Lett. 85 (2015)
Manolis C. Tsakiris, René Vidal
Abstract algebraic-geometric subspace clustering. ACSSC (2014)
Manolis C. Tsakiris, Danielle C. Tarraf
On subspace decompositions of finite horizon DP problems with switched linear dynamics. CDC (2013)
Manolis C. Tsakiris, Danielle C. Tarraf
On subspace decompositions of finite horizon dynamic programming problems. CDC (2012)
Manolis C. Tsakiris, Danielle C. Tarraf
On decompositions of finite horizon DP Problems with linear dynamics. Allerton Conference (2012)
Manolis C. Tsakiris, Cássio Guimarães Lopes, Patrick A. Naylor
An alternative criterion for regularization in Recursive Least-Squares problems. ISWCS (2010)
Manolis C. Tsakiris, Cássio Guimarães Lopes, Vítor H. Nascimento
An Array Recursive Least-Squares Algorithm With Generic Nonfading Regularization Matrix. IEEE Signal Process. Lett. 17 (12) (2010)
Manolis C. Tsakiris, Patrick A. Naylor
Fast exact Affine Projection Algorithm using displacement structure theory. DPS (2009)
Manolis C. Tsakiris, Cássio Guimarães Lopes
A Robust Affine Projection Algorithm with Feedback Compensation of the Condition Number. ISCAS (2009)