activity
20142026
most citedSingle-particle cryo-electron microscopy: Mathematical theory, computational challenges, and opportunities

148 citations · 567 across the 75 of their papers we have counts for

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Showing 2026 · eess.SPShow all

6 papers · 2 filters

eess.SP2026

A Geometric Analysis of Initialization Bias in Spherical -means in the Weak Signal Regime

Amnon Balanov, Tamir Bendory

We study initialization bias in spherical -means for weakly informative directional mixtures. We model the observations by a -component von Mises-Fisher mixture with a small…

eess.SP2026

Projected multi-reference alignment

Amnon Balanov, Josh Katz, Tamir Bendory +1

Motivated by structural biology applications, we study the projected multi-reference alignment (MRA) model, in which an unknown signal is observed through noisy samples, each gener…

eess.SP2026

The interplay of signal-to-noise ratio and variance misspecification in Gaussian mixtures

Vladimir Serov, Amnon Balanov, Tamir Bendory

We study estimation and clustering in Gaussian mixture models under variance misspecification. Observations are generated with true variance , while the component means are es…

eess.SP2026

Group-invariant moments under tomographic projections

Amnon Balanov, Tamir Bendory, Dan Edidin

Let be an unknown object, and suppose the observations are tomographic projections of randomly rotated copies of of the form , wh…

eess.SP2026

Provable orbit recovery over SO(3) from the non-uniform second moment

Tamir Bendory, Dan Edidin, Josh Katz +2

We study the recovery of an unknown three-dimensional band-limited signal from multiple noisy observations that are randomly rotated by latent elements of SO(3), where the rotation…

eess.SP2026

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…