12 citations · 29 across the 9 of their papers we have counts for
10 papers
A Fast Approximate Maximum Likelihood Estimator for Low SNR Multi-Reference Alignment
Shay Kreymer, Amnon Balanov, Tamir Bendory
Motivated by single-particle cryo-electron microscopy, multi-reference alignment (MRA) models the task of recovering an unknown signal from multiple noisy observations corrupted by…
Solving ill-conditioned polynomial equations using score-based priors with application to multi-target detection
Rafi Beinhorn, Shay Kreymer, Amnon Balanov +3
Recovering signals from low-order moments is a fundamental yet notoriously difficult task in inverse problems. This recovery process often reduces to solving ill-conditioned system…
Orbit recovery for spherical functions
Tamir Bendory, Dan Edidin, Josh Katz +1
Orbit recovery is a central problem in both mathematics and applied sciences, with important applications to structural biology. This paper focuses on recovering generic orbits of…
A note on the sample complexity of multi-target detection
Amnon Balanov, Shay Kreymer, Tamir Bendory
This work studies the sample complexity of the multi-target detection (MTD) problem, which involves recovering a signal from a noisy measurement containing multiple instances of a…
Score-based diffusion priors for multi-target detection
Alon Zabatani, Shay Kreymer, Tamir Bendory
Multi-target detection (MTD) is the problem of estimating an image from a large, noisy measurement that contains randomly translated and rotated copies of the image. Motivated by t…
Expectation-maximization for structure determination directly from cryo-EM micrographs
Shay Kreymer, Amit Singer, Tamir Bendory
A single-particle cryo-electron microscopy (cryo-EM) measurement, called a micrograph, consists of multiple two-dimensional tomographic projections of a three-dimensional (3-D) mol…
An approximate expectation-maximization for two-dimensional multi-target detection
Shay Kreymer, Amit Singer, Tamir Bendory
We consider the two-dimensional multi-target detection (MTD) problem of estimating a target image from a noisy measurement that contains multiple copies of the image, each randomly…
Generalized autocorrelation analysis for multi-target detection
Ye'Ela Shalit, Ran Weber, Asaf Abas +2
We study the multi-target detection problem of recovering a target signal from a noisy measurement that contains multiple copies of the signal at unknown locations. Motivated by th…
Two-dimensional multi-target detection: an autocorrelation analysis approach
Shay Kreymer, Tamir Bendory
We consider the two-dimensional multi-target detection problem of recovering a target image from a noisy measurement that contains multiple copies of the image, each randomly rotat…
Signal recovery from a few linear measurements of its high-order spectra
Tamir Bendory, Dan Edidin, Shay Kreymer
The -th order spectrum is a polynomial of degree in the entries of a signal , which is invariant under circular shifts of the signal. For , this p…