Joe Kileel - RankMe

55 papers A* 5B 1Journal 47Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Condition Numbers in Multiview Geometry, Instability in Relative Pose Estimation, and RANSAC. IEEE Trans. Pattern Anal. Mach. Intell. Hongyi Fan, Joe Kileel, Benjamin B. Kimia
2026	J	`jnl`	First Proof. CoRR Mohammed Abouzaid, Andrew J. Blumberg, Martin Hairer, Joe Kileel, Tamara G. Kolda, Paul D. Nelson, Daniel Spielman, Nikhil Srivastava, Rachel A. Ward, Shmuel Weinberger, Lauren Williams
2026	J	`jnl`	Multi-context principal component analysis. CoRR Kexin Wang, Salil Bhate, João M. Pereira, Joe Kileel, Matylda Figlerowicz, Anna Seigal
2026	J	`jnl`	QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition. CoRR Daniel Miao, Gilad Lerman, Joe Kileel
2025	J	`jnl`	Efficient Tensor Decomposition via Moment Matrix Extension. CoRR Bobby Shi, Julia Lindberg, Joe Kileel
2025	J	`jnl`	Fast Expansion Into Harmonics on the Ball. SIAM J. Sci. Comput. Joe Kileel, Nicholas F. Marshall, Oscar Mickelin, Amit Singer
2025	J	`jnl`	Geometry and Optimization of Shallow Polynomial Networks. CoRR Yossi Arjevani, Joan Bruna, Joe Kileel, Elzbieta Polak, Matthew Trager
2025	J	`jnl`	Higher-Order Group Synchronization. CoRR Adriana L. Duncan, Joe Kileel
2025	J	`jnl`	Multi-subspace power method for decomposing all tensors. CoRR Kexin Wang, João M. Pereira, Joe Kileel, Anna Seigal
2025	J	`jnl`	Norming Sets for Tensor and Polynomial Sketching. CoRR Yifan Zhang, Joe Kileel
2025	J	`jnl`	SO(3)-invariant PCA with application to molecular data. CoRR Michael Fraiman, Paulina Hoyos, Tamir Bendory, Joe Kileel, Oscar Mickelin, Nir Sharon, Amit Singer
2025	J	`jnl`	The Fascinating World of 2 ⨉ 2 ⨉ 2 Tensors: Its Geometry and Optimization Challenges. CoRR Gabriel H. Brown, Joe Kileel, Tamara G. Kolda
2025	J	`jnl`	The effect of smooth parametrizations on nonconvex optimization landscapes. Math. Program. Eitan Levin, Joe Kileel, Nicolas Boumal
2025	J	`jnl`	Two Datasets Are Better Than One: Method of Double Moments for 3-D Reconstruction in Cryo-EM. CoRR Joe Kileel, Oscar Mickelin, Amit Singer, Sheng Xu
2024	J	`jnl`	Fast expansion into harmonics on the ball. CoRR Joe Kileel, Nicholas F. Marshall, Oscar Mickelin, Amit Singer
2024	J	`jnl`	Scalable Symmetric Tucker Tensor Decomposition. SIAM J. Matrix Anal. Appl. Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel A. Ward
2024	A*	`conf`	Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor. NeurIPS Daniel Miao, Gilad Lerman, Joe Kileel
2024	J	`jnl`	Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor. CoRR Daniel Miao, Gilad Lerman, Joe Kileel
2023	J	`jnl`	Condition numbers in multiview geometry, instability in relative pose estimation, and RANSAC. CoRR Hongyi Fan, Joe Kileel, Benjamin B. Kimia
2023	J	`jnl`	Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications. CoRR Yifan Zhang, Joe Kileel
2023	J	`jnl`	Diffusion Maps for Group-Invariant Manifolds. CoRR Paulina Hoyos, Joe Kileel
2023	J	`jnl`	Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy. Math. Program. Eitan Levin, Joe Kileel, Nicolas Boumal
2023	J	`jnl`	Moment Estimation for Nonparametric Mixture Models through Implicit Tensor Decomposition. SIAM J. Math. Data Sci. Yifan Zhang, Joe Kileel
2023	B	`conf`	Moment Varieties for Mixtures of Products. ISSAC Yulia Alexandr, Joe Kileel, Bernd Sturmfels
2022	J	`jnl`	Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms. CoRR Tamir Bendory, Yuehaw Khoo, Joe Kileel, Oscar Mickelin, Amit Singer
2022	J	`jnl`	Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition. CoRR Yifan Zhang, Joe Kileel
2022	A*	`conf`	On the Instability of Relative Pose Estimation and RANSAC's Role. CVPR Hongyi Fan, Joe Kileel, Benjamin B. Kimia
2022	J	`jnl`	Scalable symmetric Tucker tensor decomposition. CoRR Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel A. Ward
2022	J	`jnl`	Snapshot of Algebraic Vision. CoRR Joe Kileel, Kathlén Kohn
2022	J	`jnl`	Tensor Moments of Gaussian Mixture Models: Theory and Applications. CoRR João M. Pereira, Joe Kileel, Tamara G. Kolda
2022	J	`jnl`	The effect of smooth parametrizations on nonconvex optimization landscapes. CoRR Eitan Levin, Joe Kileel, Nicolas Boumal
2021	J	`jnl`	Finding stationary points on bounded-rank matrices: A geometric hurdle and a smooth remedy. CoRR Eitan Levin, Joe Kileel, Nicolas Boumal
2021	A*	`conf`	Landscape analysis of an improved power method for tensor decomposition. NeurIPS Joe Kileel, Timo Klock, João M. Pereira
2021	J	`jnl`	Landscape analysis of an improved power method for tensor decomposition. CoRR Joe Kileel, Timo Klock, João M. Pereira
2021	J	`jnl`	On the Instability of Relative Pose Estimation and RANSAC's Role. CoRR Hongyi Fan, Joe Kileel, Benjamin B. Kimia
2021	J	`jnl`	Symmetry Breaking in Symmetric Tensor Decomposition. CoRR Yossi Arjevani, Joan Bruna, Michael Field, Joe Kileel, Matthew Trager, Francis Williams
2020	—	`conf`	Earthmover-Based Manifold Learning for Analyzing Molecular Conformation Spaces. ISBI Nathan Zelesko, Amit Moscovich, Joe Kileel, Amit Singer
2020	J	`jnl`	Manifold learning with arbitrary norms. CoRR Joe Kileel, Amit Moscovich, Nathan Zelesko, Amit Singer
2019	J	`jnl`	Earthmover-based manifold learning for analyzing molecular conformation spaces. CoRR Nathan Zelesko, Amit Moscovich, Joe Kileel, Amit Singer
2019	J	`jnl`	Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. CoRR Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer
2019	A*	`conf`	On the Expressive Power of Deep Polynomial Neural Networks. NeurIPS Joe Kileel, Matthew Trager, Joan Bruna
2019	J	`jnl`	On the Expressive Power of Deep Polynomial Neural Networks. CoRR Joe Kileel, Matthew Trager, Joan Bruna
2019	J	`jnl`	Subspace power method for symmetric tensor decomposition and generalized PCA. CoRR Joe Kileel, João M. Pereira
2018	—	`conf`	3D ab initio modeling in cryo-EM by autocorrelation analysis. ISBI Eitan Levin, Tamir Bendory, Nicolas Boumal, Joe Kileel, Amit Singer
2018	J	`jnl`	Distortion Varieties. Found. Comput. Math. Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels
2018	J	`jnl`	The Chow form of the essential variety in computer vision. J. Symb. Comput. Gunnar Fløystad, Joe Kileel, Giorgio Ottaviani
2017	A*	`conf`	A Clever Elimination Strategy for Efficient Minimal Solvers. CVPR Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla
2017	J	`jnl`	A clever elimination strategy for efficient minimal solvers. CoRR Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla
2017	J	`jnl`	Minimal Problems for the Calibrated Trifocal Variety. SIAM J. Appl. Algebra Geom. Joe Kileel
2016	J	`jnl`	Distortion Varieties. CoRR Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels
2016	J	`jnl`	Minimal Problems for the Calibrated Trifocal Variety. CoRR Joe Kileel
2016	J	`jnl`	Numerical Implicitization for Macaulay2. CoRR Justin Chen, Joe Kileel
2016	J	`jnl`	Rigid multiview varieties. Int. J. Algebra Comput. Michael Joswig, Joe Kileel, Bernd Sturmfels, André Wagner
2016	J	`jnl`	The Chow Form of the Essential Variety in Computer Vision. CoRR Gunnar Fløystad, Joe Kileel, Giorgio Ottaviani
2015	J	`jnl`	Rigid Multiview Varieties. CoRR Michael Joswig, Joe Kileel, Bernd Sturmfels, André Wagner