ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.10356
  4. Cited By
Deep learning based mixed-dimensional GMM for characterizing variability
  in CryoEM

Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM

25 January 2021
Muyuan Chen
S. Ludtke
    BDL
ArXivPDFHTML

Papers citing "Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM"

3 / 3 papers shown
Title
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
154
9,409
0
09 Feb 2018
Continuously heterogeneous hyper-objects in cryo-EM and 3-D movies of
  many temporal dimensions
Continuously heterogeneous hyper-objects in cryo-EM and 3-D movies of many temporal dimensions
Roy R. Lederman
A. Singer
25
29
0
10 Apr 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
1