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Roy R Lederman

Showing results (1-10 of 17) with videos related to

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... International Conference on Sampling Theory and Applications (Sampta). International Conference on Sampling Theory and Applications|March 4, 2024
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical PhenomenaRoy R Lederman, Bogdan Toader
Applied and Computational Harmonic Analysis|August 15, 2024
A Representation Theory Perspective on Simultaneous Alignment and ClassificationRoy R Lederman, Amit Singer
Linear Algebra and Its Applications|December 9, 2024
EXTREME VALUES OF THE FIEDLER VECTOR ON TREESRoy R Lederman, Stefan Steinerberger
Proceedings of Machine Learning Research|August 19, 2022
Evaluating the Implicit Midpoint Integrator for Riemannian Manifold Hamiltonian Monte CarloJames A Brofos, Roy R Lederman
Arxiv|March 30, 2023
Using VAEs to Learn Latent Variables: Observations on Applications in cryo-EMDaniel G Edelberg, Roy R Lederman
Inverse Problems|February 2, 2024
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures for Applications in Flexible Macro-Molecules in Cryo-EMRoy R Lederman, Joakim Andén, Amit Singer
Journal of Molecular Biology|March 2, 2023
Methods for Cryo-EM Single Particle Reconstruction of Macromolecules Having Continuous HeterogeneityBogdan Toader, Fred J Sigworth, Roy R Lederman
Acta Crystallographica. Section D, Structural Biology|June 23, 2025
Efficient high-resolution refinement in cryo-EM with stochastic gradient descentBogdan Toader, Marcus A Brubaker, Roy R Lederman
Arxiv|December 11, 2023
Efficient high-resolution refinement in cryo-EM with stochastic gradient descentBogdan Toader, Marcus A Brubaker, Roy R Lederman
Biorxiv : the Preprint Server for Biology|January 23, 2026
Cryo-electron microscopy ensemble optimization using individual particles and physical constraintsDavid Silva-Sánchez, Erik H Thiede, Roy R Lederman, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
... International Conference on Sampling Theory and Applications (Sampta). International Conference on Sampling Theory and Applications|March 4, 2024
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical PhenomenaRoy R Lederman, Bogdan Toader
Applied and Computational Harmonic Analysis|August 15, 2024
A Representation Theory Perspective on Simultaneous Alignment and ClassificationRoy R Lederman, Amit Singer
Linear Algebra and Its Applications|December 9, 2024
EXTREME VALUES OF THE FIEDLER VECTOR ON TREESRoy R Lederman, Stefan Steinerberger
Proceedings of Machine Learning Research|August 19, 2022
Evaluating the Implicit Midpoint Integrator for Riemannian Manifold Hamiltonian Monte CarloJames A Brofos, Roy R Lederman
Arxiv|March 30, 2023
Using VAEs to Learn Latent Variables: Observations on Applications in cryo-EMDaniel G Edelberg, Roy R Lederman
Inverse Problems|February 2, 2024
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures for Applications in Flexible Macro-Molecules in Cryo-EMRoy R Lederman, Joakim Andén, Amit Singer
Journal of Molecular Biology|March 2, 2023
Methods for Cryo-EM Single Particle Reconstruction of Macromolecules Having Continuous HeterogeneityBogdan Toader, Fred J Sigworth, Roy R Lederman
Acta Crystallographica. Section D, Structural Biology|June 23, 2025
Efficient high-resolution refinement in cryo-EM with stochastic gradient descentBogdan Toader, Marcus A Brubaker, Roy R Lederman
Arxiv|December 11, 2023
Efficient high-resolution refinement in cryo-EM with stochastic gradient descentBogdan Toader, Marcus A Brubaker, Roy R Lederman
Biorxiv : the Preprint Server for Biology|January 23, 2026
Cryo-electron microscopy ensemble optimization using individual particles and physical constraintsDavid Silva-Sánchez, Erik H Thiede, Roy R Lederman, et al.
Pageof 2