148 citations · 567 across the 75 of their papers we have counts for
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Bayesian Perspective for Orientation Determination in Cryo-EM with Application to Structural Heterogeneity Analysis
Sheng Xu, Amnon Balanov, Amit Singer +1
Accurate orientation estimation is a crucial component of 3D molecular structure reconstruction, both in single-particle cryo-electron microscopy (cryo-EM) and in the increasingly…
Confirmation Bias in Gaussian Mixture Models
Amnon Balanov, Tamir Bendory, Wasim Huleihel
Confirmation bias, the tendency to interpret information in a way that aligns with one's preconceptions, can profoundly impact scientific research, leading to conclusions that refl…
Einstein from Noise: Statistical Analysis
Amnon Balanov, Wasim Huleihel, Tamir Bendory
``Einstein from noise" (EfN) is a prominent example of the model bias phenomenon: systematic errors in the statistical model that lead to spurious but consistent estimates. In the…
A transversality theorem for semi-algebraic sets with application to signal recovery from the second moment and cryo-EM
Tamir Bendory, Nadav Dym, Dan Edidin +1
Semi-algebraic priors are ubiquitous in signal processing and machine learning. Prevalent examples include a) linear models where the signal lies in a low-dimensional subspace; b)…
Object detection under the linear subspace model with application to cryo-EM images
Amitay Eldar, Keren Mor Waknin, Samuel Davenport +3
Detecting multiple unknown objects in noisy data is a key problem in many scientific fields, such as electron microscopy imaging. A common model for the unknown objects is the line…
The beltway problem over orthogonal groups
Tamir Bendory, Dan Edidin, Oscar Mickelin
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 crystall…
Image detection using combinatorial auction
Simon Anuk, Tamir Bendory, Amichai Painsky
This paper studies the optimal solution of the classical problem of detecting the location of multiple image occurrences in a two-dimensional, noisy measurement. Assuming the image…