In this article, we consider the manifold learning problem when the data...
The setting of this article is nonparametric algebraic statistics. We st...
We present an alternating least squares type numerical optimization sche...
In this survey article, we present interactions between algebraic geomet...
The number of noisy images required for molecular reconstruction in
sing...
We develop new tools to study the landscapes of nonconvex optimization
p...
We study the best low-rank Tucker decomposition of symmetric tensors,
ad...
Gaussian mixture models (GMM) are fundamental tools in statistical and d...
In this paper we study the numerical instabilities of the 5- and 7-point...
In this work, we consider the optimization formulation for symmetric ten...
We consider the problem of provably finding a stationary point of a smoo...
In this note, we consider the optimization problem associated with compu...
Manifold learning methods play a prominent role in nonlinear dimensional...
We introduce the Subspace Power Method (SPM) for decomposing symmetric
e...
Single-particle reconstruction in cryo-electron microscopy (cryo-EM) is ...
We study deep neural networks with polynomial activations, particularly ...
Single-Particle Reconstruction (SPR) in Cryo-Electron Microscopy (cryo-E...
We present a new insight into the systematic generation of minimal solve...
We determine the algebraic degree of minimal problems for the calibrated...
We present the Macaulay2 package NumericalImplicitization, which allows ...
The distortion varieties of a given projective variety are parametrized ...
The Chow form of the essential variety in computer vision is calculated....
The multiview variety from computer vision is generalized to images by n...