Numerical Implicitization for Macaulay2. - Justin Chen; Joe Kileel 001 (CoRR, 2016)

Rigid multiview varieties. - Michael Joswig; Joe Kileel 001; Bernd Sturmfels; André Wagner (Int. J. Algebra Comput., 2016)

A Clever Elimination Strategy for Efficient Minimal Solvers. - Zuzana Kukelova; Joe Kileel 001; Bernd Sturmfels; Tomás Pajdla (CVPR, 2017)

Minimal Problems for the Calibrated Trifocal Variety. - Joe Kileel 001 (SIAM J. Appl. Algebra Geom., 2017)

Algebraic Geometry for Computer Vision. - Joseph David Kileel (2017)

3D ab initio modeling in cryo-EM by autocorrelation analysis. - Eitan Levin; Tamir Bendory; Nicolas Boumal; Joe Kileel 001; Amit Singer (ISBI, 2018)

Distortion Varieties. - Joe Kileel 001; Zuzana Kukelova; Tomás Pajdla; Bernd Sturmfels (Found. Comput. Math., 2018)

The Chow form of the essential variety in computer vision. - Gunnar Fløystad; Joe Kileel 001; Giorgio Ottaviani (J. Symb. Comput., 2018)

On the Expressive Power of Deep Polynomial Neural Networks. - Joe Kileel 001; Matthew Trager; Joan Bruna (NeurIPS, 2019)

Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. - Nir Sharon; Joe Kileel 001; Yuehaw Khoo; Boris Landa; Amit Singer (CoRR, 2019)

Subspace power method for symmetric tensor decomposition and generalized PCA. - Joe Kileel 001; João M. Pereira 002 (CoRR, 2019)

Earthmover-Based Manifold Learning for Analyzing Molecular Conformation Spaces. - Nathan Zelesko; Amit Moscovich; Joe Kileel 001; Amit Singer (ISBI, 2020)

Manifold learning with arbitrary norms. - Joe Kileel 001; Amit Moscovich; Nathan Zelesko; Amit Singer (CoRR, 2020)

Landscape analysis of an improved power method for tensor decomposition. - Joe Kileel 001; Timo Klock; João M. Pereira 002 (NeurIPS, 2021)

Symmetry Breaking in Symmetric Tensor Decomposition. - Yossi Arjevani; Joan Bruna; Michael Field; Joe Kileel 001; Matthew Trager; Francis Williams (CoRR, 2021)

On the Instability of Relative Pose Estimation and RANSAC's Role. - Hongyi Fan; Joe Kileel 001; Benjamin B. Kimia (CVPR, 2022)

Tensor Moments of Gaussian Mixture Models: Theory and Applications. - João M. Pereira 002; Joe Kileel 001; Tamara G. Kolda (CoRR, 2022)

Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms. - Tamir Bendory; Yuehaw Khoo; Joe Kileel 001; Oscar Mickelin; Amit Singer (CoRR, 2022)

Snapshot of Algebraic Vision. - Joe Kileel 001; Kathlén Kohn (CoRR, 2022)

Moment Varieties for Mixtures of Products. - Yulia Alexandr; Joe Kileel 001; Bernd Sturmfels (ISSAC, 2023)

Diffusion Maps for Group-Invariant Manifolds. - Paulina Hoyos; Joe Kileel 001 (CoRR, 2023)

Condition numbers in multiview geometry, instability in relative pose estimation, and RANSAC. - Hongyi Fan; Joe Kileel 001; Benjamin B. Kimia (CoRR, 2023)

Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications. - Yifan Zhang; Joe Kileel 001 (CoRR, 2023)

Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy. - Eitan Levin; Joe Kileel 001; Nicolas Boumal (Math. Program., 2023)

Moment Estimation for Nonparametric Mixture Models through Implicit Tensor Decomposition. - Yifan Zhang; Joe Kileel 001 (SIAM J. Math. Data Sci., 2023)

Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor. - Daniel Miao; Gilad Lerman; Joe Kileel 001 (NeurIPS, 2024)

Scalable Symmetric Tucker Tensor Decomposition. - Ruhui Jin; Joe Kileel 001; Tamara G. Kolda; Rachel A. Ward (SIAM J. Matrix Anal. Appl., 2024)

Fast Expansion Into Harmonics on the Ball. - Joe Kileel 001; Nicholas F. Marshall; Oscar Mickelin; Amit Singer (SIAM J. Sci. Comput., 2025)

Geometry and Optimization of Shallow Polynomial Networks. - Yossi Arjevani; Joan Bruna; Joe Kileel 001; Elzbieta Polak; Matthew Trager (CoRR, 2025)

The effect of smooth parametrizations on nonconvex optimization landscapes. - Eitan Levin; Joe Kileel 001; Nicolas Boumal (Math. Program., 2025)

The Fascinating World of 2 ⨉ 2 ⨉ 2 Tensors: Its Geometry and Optimization Challenges. - Gabriel H. Brown; Joe Kileel 001; Tamara G. Kolda (CoRR, 2025)

Higher-Order Group Synchronization. - Adriana L. Duncan; Joe Kileel 001 (CoRR, 2025)

Norming Sets for Tensor and Polynomial Sketching. - Yifan Zhang; Joe Kileel 001 (CoRR, 2025)

Efficient Tensor Decomposition via Moment Matrix Extension. - Bobby Shi; Julia Lindberg; Joe Kileel 001 (CoRR, 2025)