Joe Kileel

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 31

Top Topics

Manifold Learning

Tensor Decomposition

Laplacian Eigenmaps

Head Pose Estimation

Top Venues

Publications

Paulina Hoyos, Joe Kileel
Diffusion Maps for Group-Invariant Manifolds. CoRR (2023)
Joe Kileel, Kathlén Kohn
Snapshot of Algebraic Vision. CoRR (2022)
Hongyi Fan, Joe Kileel, Benjamin B. Kimia
On the Instability of Relative Pose Estimation and RANSAC's Role. CVPR (2022)
Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel Ward
Scalable symmetric Tucker tensor decomposition. CoRR (2022)
Yifan Zhang, Joe Kileel
Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition. CoRR (2022)
Eitan Levin, Joe Kileel, Nicolas Boumal
The effect of smooth parametrizations on nonconvex optimization landscapes. CoRR (2022)
Tamir Bendory, Yuehaw Khoo, Joe Kileel, Oscar Mickelin, Amit Singer
Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms. CoRR (2022)
João M. Pereira, Joe Kileel, Tamara G. Kolda
Tensor Moments of Gaussian Mixture Models: Theory and Applications. CoRR (2022)
Joe Kileel, Timo Klock, João M. Pereira
Landscape analysis of an improved power method for tensor decomposition. NeurIPS (2021)
Hongyi Fan, Joe Kileel, Benjamin B. Kimia
On the Instability of Relative Pose Estimation and RANSAC's Role. CoRR (2021)
Yossi Arjevani, Joan Bruna, Michael Field, Joe Kileel, Matthew Trager, Francis Williams
Symmetry Breaking in Symmetric Tensor Decomposition. CoRR (2021)
Joe Kileel, Timo Klock, João M. Pereira
Landscape analysis of an improved power method for tensor decomposition. CoRR (2021)
Eitan Levin, Joe Kileel, Nicolas Boumal
Finding stationary points on bounded-rank matrices: A geometric hurdle and a smooth remedy. CoRR (2021)
Joe Kileel, Amit Moscovich, Nathan Zelesko, Amit Singer
Manifold learning with arbitrary norms. CoRR (2020)
Nathan Zelesko, Amit Moscovich, Joe Kileel, Amit Singer
Earthmover-Based Manifold Learning for Analyzing Molecular Conformation Spaces. ISBI (2020)
Joe Kileel, Matthew Trager, Joan Bruna
On the Expressive Power of Deep Polynomial Neural Networks. CoRR (2019)
Joe Kileel, João M. Pereira
Subspace power method for symmetric tensor decomposition and generalized PCA. CoRR (2019)
Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer
Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. CoRR (2019)
Nathan Zelesko, Amit Moscovich, Joe Kileel, Amit Singer
Earthmover-based manifold learning for analyzing molecular conformation spaces. CoRR (2019)
Joe Kileel, Matthew Trager, Joan Bruna
On the Expressive Power of Deep Polynomial Neural Networks. NeurIPS (2019)
Gunnar Fløystad, Joe Kileel, Giorgio Ottaviani
The Chow form of the essential variety in computer vision. J. Symb. Comput. 86 (2018)
Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels
Distortion Varieties. Found. Comput. Math. 18 (4) (2018)
Eitan Levin, Tamir Bendory, Nicolas Boumal, Joe Kileel, Amit Singer
3D ab initio modeling in cryo-EM by autocorrelation analysis. ISBI (2018)
Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla
A clever elimination strategy for efficient minimal solvers. CoRR (2017)
Joe Kileel
Minimal Problems for the Calibrated Trifocal Variety. SIAM J. Appl. Algebra Geom. 1 (1) (2017)
Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla
A Clever Elimination Strategy for Efficient Minimal Solvers. CVPR (2017)
Michael Joswig, Joe Kileel, Bernd Sturmfels, André Wagner
Rigid multiview varieties. Int. J. Algebra Comput. 26 (4) (2016)
Justin Chen, Joe Kileel
Numerical Implicitization for Macaulay2. CoRR (2016)
Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels
Distortion Varieties. CoRR (2016)
Gunnar Fløystad, Joe Kileel, Giorgio Ottaviani
The Chow Form of the Essential Variety in Computer Vision. CoRR (2016)
Joe Kileel
Minimal Problems for the Calibrated Trifocal Variety. CoRR (2016)
Michael Joswig, Joe Kileel, Bernd Sturmfels, André Wagner
Rigid Multiview Varieties. CoRR (2015)