4 citations · 4 across the 6 of their papers we have counts for
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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…
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…
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…