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Hyper-Molecules: on the Representation and Recovery of Dynamical
  Structures, with Application to Flexible Macro-Molecular Structures in
  Cryo-EM

Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EM

2 July 2019
Roy R. Lederman
Joakim Andén
A. Singer
ArXivPDFHTML

Papers citing "Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EM"

5 / 5 papers shown
Title
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
Minkyu Jeon
Rishwanth Raghu
Miro A. Astore
Geoffrey Woollard
Ryan Feathers
Alkin Kaz
Sonya M. Hanson
Pilar Cossio
Ellen D. Zhong
39
7
0
17 Jan 2025
Manifold learning with arbitrary norms
Manifold learning with arbitrary norms
Joe Kileel
Amit Moscovich
Nathan Zelesko
A. Singer
44
25
0
28 Dec 2020
Wasserstein K-Means for Clustering Tomographic Projections
Wasserstein K-Means for Clustering Tomographic Projections
R. Rao
Amit Moscovich
A. Singer
28
11
0
20 Oct 2020
Product Manifold Learning
Product Manifold Learning
Sharon Zhang
Amit Moscovich
A. Singer
39
14
0
19 Oct 2020
A Representation Theory Perspective on Simultaneous Alignment and
  Classification
A Representation Theory Perspective on Simultaneous Alignment and Classification
Roy R. Lederman
A. Singer
30
20
0
12 Jul 2016
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