6 citations · 11 across the 3 of their papers we have counts for
4 papers
Learning Transition Operators From Sparse Space-Time Samples
Christian Kümmerle, Mauro Maggioni, Sui Tang
We consider the nonlinear inverse problem of learning a transition operator from partial observations at different times, in particular from sparse observations of ent…
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
Christian Kümmerle, Claudio Mayrink Verdun
We propose an iterative algorithm for low-rank matrix completion that can be interpreted as an iteratively reweighted least squares (IRLS) algorithm, a saddle-escaping smoothing Ne…
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method
Christian Kümmerle, Claudio M. Verdun
We propose an iterative algorithm for low-rank matrix completion that can be interpreted as both an iteratively reweighted least squares (IRLS) algorithm and a saddle-escaping smoo…
Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares
Christian Kümmerle, Claudio Mayrink Verdun
We propose a new Iteratively Reweighted Least Squares (IRLS) algorithm for the problem of completing or denoising low-rank matrices that are structured, e.g., that possess a Hankel…