3 citations · 4 across the 16 of their papers we have counts for
6 papers · 1 filter
Orbit recovery under the rigid motions group
Amnon Balanov, Tamir Bendory, Dan Edidin
We study the orbit recovery problem under the rigid-motion group SE(n), where the objective is to reconstruct an unknown signal from multiple noisy observations subjected to unknow…
Sample Complexity Analysis of Multi-Target Detection via Markovian and Hard-Core Multi-Reference Alignment
Kweku Abraham, Amnon Balanov, Tamir Bendory +1
Motivated by single-particle cryo-electron microscopy, we study the sample complexity of the multi-target detection (MTD) problem, in which an unknown signal appears multiple times…
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…
Structure from Noise: Confirmation Bias in Particle Picking in Structural Biology
Amnon Balanov, Alon Zabatani, Tamir Bendory
The computational pipelines of single-particle cryo-electron microscopy (cryo-EM) and cryo-electron tomography (cryo-ET) include an early particle-picking stage, in which a microgr…
Expectation-maximization for low-SNR multi-reference alignment
Amnon Balanov, Wasim Huleihel, Tamir Bendory
We study the multi-reference alignment (MRA) problem of recovering a signal from noisy observations acted on by unknown random circular shifts. While the information-theoretic limi…
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…