Media Summary: Single particle cryo-EM is an increasingly popular technique for determining 3-D molecular structures at high resolution. The 2017 ... Let G be a group of transformations acting on an “object” space X. Suppose we have n measurements of the form yi = P ∗ gi.x + i(i ... The power spectrum of proteins at high frequencies is remarkably well described by the flat Wilson statistics. Wilson statistics ...

Amit Singer On Vector Diffusion - Detailed Analysis & Overview

Single particle cryo-EM is an increasingly popular technique for determining 3-D molecular structures at high resolution. The 2017 ... Let G be a group of transformations acting on an “object” space X. Suppose we have n measurements of the form yi = P ∗ gi.x + i(i ... The power spectrum of proteins at high frequencies is remarkably well described by the flat Wilson statistics. Wilson statistics ...

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Amit Singer on Vector Diffusion Maps and the Connection Laplacian
Amit Singer: Mathematics of Cryo-Electron Microscopy (October 16, 2025)
Amit Singer 11/20/2024
Vector Diffusion Maps and the Connection Laplacian
Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem - Amit Singer
Amit Singer -- Autocorrelation Analysis in Cryo-Electron Microscopy
Non-unique games over compact groups and orientation estimation in cryo-EM - Amit Singer
Amit Singer 2012
Amit Singer - Solving the 3-D Puzzle of Rotation Assignment (May 15, 2015)
Multi-reference Alignment: Estimating Group Transformations using Semidefinite; Amit Singer
MIT 6.S184: Flow Matching and Diffusion Models - Lecture 01 - Generative AI with SDEs (2025)
Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem | Amit Singer
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Amit Singer on Vector Diffusion Maps and the Connection Laplacian

Amit Singer on Vector Diffusion Maps and the Connection Laplacian

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Amit Singer: Mathematics of Cryo-Electron Microscopy (October 16, 2025)

Amit Singer: Mathematics of Cryo-Electron Microscopy (October 16, 2025)

Single particle cryo-EM is an increasingly popular technique for determining 3-D molecular structures at high resolution. The 2017 ...

Amit Singer 11/20/2024

Amit Singer 11/20/2024

Amit Singer 11/20/2024

Vector Diffusion Maps and the Connection Laplacian

Vector Diffusion Maps and the Connection Laplacian

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Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem - Amit Singer

Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem - Amit Singer

Amit Singer

Amit Singer -- Autocorrelation Analysis in Cryo-Electron Microscopy

Amit Singer -- Autocorrelation Analysis in Cryo-Electron Microscopy

Amit Singer

Non-unique games over compact groups and orientation estimation in cryo-EM - Amit Singer

Non-unique games over compact groups and orientation estimation in cryo-EM - Amit Singer

http://www.math.ias.edu/seminars/abstract?event=104194 More videos on http://video.ias.edu.

Amit Singer 2012

Amit Singer 2012

Amit Singer 2012

Amit Singer - Solving the 3-D Puzzle of Rotation Assignment (May 15, 2015)

Amit Singer - Solving the 3-D Puzzle of Rotation Assignment (May 15, 2015)

More details: ...

Multi-reference Alignment: Estimating Group Transformations using Semidefinite; Amit Singer

Multi-reference Alignment: Estimating Group Transformations using Semidefinite; Amit Singer

Let G be a group of transformations acting on an “object” space X. Suppose we have n measurements of the form yi = P ∗ gi.x + i(i ...

MIT 6.S184: Flow Matching and Diffusion Models - Lecture 01 - Generative AI with SDEs (2025)

MIT 6.S184: Flow Matching and Diffusion Models - Lecture 01 - Generative AI with SDEs (2025)

Updated 2026 version of the class: ...

Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem | Amit Singer

Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem | Amit Singer

Singer

Wilson Statistics: Derivation, Generalization, and Applications to Cryo-EM -Amit Singer- FFT Oct18th

Wilson Statistics: Derivation, Generalization, and Applications to Cryo-EM -Amit Singer- FFT Oct18th

The power spectrum of proteins at high frequencies is remarkably well described by the flat Wilson statistics. Wilson statistics ...