Roy R. Lederman

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 19

Top Topics

Markovian Decision

Manifold Learning

Top Venues

SIAM J. Numer. Anal.

Pattern Recognit.

Publications

Roy R. Lederman, Bogdan Toader
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena. CoRR (2023)
Daniel G. Edelberg, Roy R. Lederman
Using VAEs to Learn Latent Variables: Observations on Applications in cryo-EM. CoRR (2023)
Bogdan Toader, Marcus A. Brubaker, Roy R. Lederman
Efficient high-resolution refinement in cryo-EM with stochastic gradient descent. CoRR (2023)
James A. Brofos, Marylou Gabrié, Marcus A. Brubaker, Roy R. Lederman
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals. AISTATS (2022)
James A. Brofos, Roy R. Lederman
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo. ICML (2021)
James A. Brofos, Marcus A. Brubaker, Roy R. Lederman
Manifold Density Estimation via Generalized Dequantization. CoRR (2021)
Zhou Fan, Roy R. Lederman, Yi Sun, Tianhao Wang, Sheng Xu
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM. CoRR (2021)
James A. Brofos, Roy R. Lederman
Magnetic Manifold Hamiltonian Monte Carlo. CoRR (2020)
Ori Katz, Roy R. Lederman, Ronen Talmon
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing. CoRR (2020)
James A. Brofos, Roy R. Lederman
Non-Canonical Hamiltonian Monte Carlo. CoRR (2020)
Roy R. Lederman, Joakim Andén, Amit Singer
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EM. CoRR (2019)
Roy R. Lederman, Stefan Steinerberger
Extreme Values of the Fiedler Vector on Trees. CoRR (2019)
Uri Shaham, Roy R. Lederman
Learning by coincidence: Siamese networks and common variable learning. Pattern Recognit. 74 (2018)
Nicolas Boumal, Tamir Bendory, Roy R. Lederman, Amit Singer
Heterogeneous multireference alignment: A single pass approach. CISS (2018)
Nicolas Boumal, Tamir Bendory, Roy R. Lederman, Amit Singer
Heterogeneous multireference alignment: a single pass approach. CoRR (2017)
Roy R. Lederman
Numerical Algorithms for the Computation of Generalized Prolate Spheroidal Functions. CoRR (2017)
Roy R. Lederman, Amit Singer
Continuously heterogeneous hyper-objects in cryo-EM and 3-D movies of many temporal dimensions. CoRR (2017)
Roy R. Lederman, Vladimir Rokhlin
On the Analytical and Numerical Properties of the Truncated Laplace Transform. Part II. SIAM J. Numer. Anal. 54 (2) (2016)
Roy R. Lederman, Amit Singer
A Representation Theory Perspective on Simultaneous Alignment and Classification. CoRR (2016)
Roy R. Lederman, Ronen Talmon, Hau-Tieng Wu, Yu-Lun Lo, Ronald R. Coifman
Alternating diffusion for common manifold learning with application to sleep stage assessment. ICASSP (2015)
Uri Shaham, Roy R. Lederman
Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks. CoRR (2015)
Roy R. Lederman, Vladimir Rokhlin
On the Analytical and Numerical Properties of the Truncated Laplace Transform I. SIAM J. Numer. Anal. 53 (3) (2015)
Roy R. Lederman
A random-permutations-based approach to fast read alignment. BMC Bioinform. 14 (S-5) (2013)