Joe Kileel

According to our database, Joe Kileel authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Scalable Symmetric Tucker Tensor Decomposition.

Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel A. Ward

SIAM J. Matrix Anal. Appl., 2024

Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor.

Daniel Miao, Gilad Lerman, Joe Kileel

CoRR, 2024

Fast expansion into harmonics on the ball.

Joe Kileel, Nicholas F. Marshall, Oscar Mickelin, Amit Singer

CoRR, 2024

2023

Moment Estimation for Nonparametric Mixture Models through Implicit Tensor Decomposition.

Yifan Zhang, Joe Kileel

SIAM J. Math. Data Sci., December, 2023

Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy.

Eitan Levin, Joe Kileel, Nicolas Boumal

Math. Program., May, 2023

Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications.

Yifan Zhang, Joe Kileel

CoRR, 2023

Condition numbers in multiview geometry, instability in relative pose estimation, and RANSAC.

Hongyi Fan, Joe Kileel, Benjamin B. Kimia

CoRR, 2023

Diffusion Maps for Group-Invariant Manifolds.

Paulina Hoyos, Joe Kileel

CoRR, 2023

Moment Varieties for Mixtures of Products.

Yulia Alexandr, Joe Kileel, Bernd Sturmfels

Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation, 2023

2022

Snapshot of Algebraic Vision.

Joe Kileel, Kathlén Kohn

CoRR, 2022

Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms.

Tamir Bendory, Yuehaw Khoo, Joe Kileel, Oscar Mickelin, Amit Singer

CoRR, 2022

The effect of smooth parametrizations on nonconvex optimization landscapes.

Eitan Levin, Joe Kileel, Nicolas Boumal

CoRR, 2022

Tensor Moments of Gaussian Mixture Models: Theory and Applications.

João M. Pereira, Joe Kileel, Tamara G. Kolda

CoRR, 2022

On the Instability of Relative Pose Estimation and RANSAC's Role.

Hongyi Fan, Joe Kileel, Benjamin B. Kimia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Symmetry Breaking in Symmetric Tensor Decomposition.

Yossi Arjevani, Joan Bruna, Michael Field, Joe Kileel, Matthew Trager, Francis Williams

CoRR, 2021

Landscape analysis of an improved power method for tensor decomposition.

Joe Kileel, Timo Klock, João M. Pereira

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Manifold learning with arbitrary norms.

Joe Kileel, Amit Moscovich, Nathan Zelesko, Amit Singer

CoRR, 2020

Earthmover-Based Manifold Learning for Analyzing Molecular Conformation Spaces.

Nathan Zelesko, Amit Moscovich, Joe Kileel, Amit Singer

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Subspace power method for symmetric tensor decomposition and generalized PCA.

Joe Kileel, João M. Pereira

CoRR, 2019

Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles.

Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer

CoRR, 2019

On the Expressive Power of Deep Polynomial Neural Networks.

Joe Kileel, Matthew Trager, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The Chow form of the essential variety in computer vision.

Gunnar Fløystad, Joe Kileel, Giorgio Ottaviani

J. Symb. Comput., 2018

Distortion Varieties.

Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels

Found. Comput. Math., 2018

3D ab initio modeling in cryo-EM by autocorrelation analysis.

Eitan Levin, Tamir Bendory, Nicolas Boumal, Joe Kileel, Amit Singer

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Algebraic Geometry for Computer Vision.

Joseph David Kileel

PhD thesis, 2017

Minimal Problems for the Calibrated Trifocal Variety.

Joe Kileel

SIAM J. Appl. Algebra Geom., 2017

A Clever Elimination Strategy for Efficient Minimal Solvers.

Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Rigid multiview varieties.

Michael Joswig, Joe Kileel, Bernd Sturmfels, André Wagner

Int. J. Algebra Comput., 2016

Numerical Implicitization for Macaulay2.

Justin Chen, Joe Kileel

CoRR, 2016