7 papers
Discrete-time, discrete-state multistate Markov models from the perspective of algebraic statistics
Dario Gasbarra, Kaie Kubjas, Sangita Kulathinal +3
We study discrete-time, discrete-state multistate Markov models from the perspective of algebraic statistics. These models are widely studied in event history analysis, and are cha…
Geometry of low nonnegative rank matrix completion
Kaie Kubjas, Lilja Metsälampi
We study completion of partial matrices with nonnegative entries to matrices of nonnegative rank at most for some . Most of our results are for . We…
Single-cell 3D genome reconstruction in the haploid setting using rigidity theory
Sean Dewar, Georg Grasegger, Kaie Kubjas +2
This article considers the problem of 3-dimensional genome reconstruction for single-cell data, and the uniqueness of such reconstructions in the setting of haploid organisms. We c…
Colored Gaussian directed acyclic graphical models
Tobias Boege, Kaie Kubjas, Pratik Misra +1
We study submodels of Gaussian DAG models defined by partial homogeneity constraints imposed on the model error variances and structural coefficients. We represent these models wit…
Geometry of Polynomial Neural Networks
Kaie Kubjas, Jiayi Li, Maximilian Wiesmann
We study the expressivity and learning process for polynomial neural networks (PNNs) with monomial activation functions. The weights of the network parametrize the neuromanifold. I…
Uniqueness of size-2 positive semidefinite matrix factorizations
Kristen Dawson, Serkan HoÅten, Kaie Kubjas +1
We characterize when a size-2 positive semidefinite (psd) factorization of a positive matrix of rank 3 and psd rank 2 is unique. The characterization is obtained using tools from r…