Unknown view tomography (UVT) reconstructs a 3D density map from its 2D projections at
unknown, random orientations. A line of work starting with Kam (1980) employs the method …

The classical beltway problem entails recovering a set of points from their unordered
pairwise distances on the circle. This problem can be viewed as a special case of the …

A recent unlabeled sampling result by Unnikrishnan, Haghighatshoar, and Vetterli states
that with probability one over Gaussian random matrices A with iid entries, any x can be …

Phase association groups seismic wave arrivals according to their originating earthquakes.
It is a fundamental task in a seismic data processing pipeline, but challenging to perform for …

The problem of recovering a signal from a quadratic system with full-rank matrices frequently
arises in applications such as unassigned distance geometry and sub-wavelength imaging …

We tackle the problem of recovering a complex signal from quadratic measurements of the
form, where is a full-rank, complex random measurement matrix whose entries are …

We address the phase retrieval problem with errors in the sensing vectors. A number of
recent methods for phase retrieval are based on least squares (LS) formulations which …

In this paper, we study the problem of reconstructing a 3D point source model from a set of
2D projections at unknown view angles. Our method obviates the need to recover the …

In this paper, we study a 2D tomography problem for point source models with random
unknown view angles. Rather than recovering the projection angles, we reconstruct the …

The Turnpike problem aims to reconstruct a set of one-dimensional points from their
unordered pairwise distances. Turnpike arises in biological applications such as molecular …