Article-Journal

Learning Transition Operators From Sparse Space-Time Samples
We consider the nonlinear inverse problem of learning a transition operator A from partial observations at T different times, in the …
PDF Cite arXiv
On the robustness of noise-blind low-rank recovery from rank-one measurements
We prove new results about the robustness of well-known convex noise-blind optimization formulations for the reconstruction of low-rank …
PDF Cite arXiv
On the geometry of polytopes generated by heavy-tailed random vectors
We study the geometry of centrally-symmetric random polytopes, generated by $N$ independent copies of a random vector $X$ taking values …
PDF Cite arXiv
Dictionary-Sparse Recovery From Heavy-Tailed Measurements
The recovery of signals that are sparse not in a given basis, but rather sparse with respect to an over-complete dictionary is one of …
PDF Cite arXiv
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery
We propose a new iteratively reweighted least squares (IRLS) algorithm for the recovery of a matrix $X \in \mathbb{C}^{d_1 \times d_2}$ …
PDF Cite Code arXiv
An example journal article
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
PDF Cite Code
An example journal article