Roy R. Lederman

发表

Learning by coincidence: Siamese networks and common variable learning

Uri Shaham, Roy R. Lederman, Uri Shaham, 2018, Pattern Recognit..

Alternating diffusion for common manifold learning with application to sleep stage assessment

Ronald R. Coifman, Roy R. Lederman, Hau-Tieng Wu, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Magnetic Manifold Hamiltonian Monte Carlo pdf

Roy R. Lederman, James A. Brofos, 2020, ArXiv.

Hyper-Molecules: on the Representation and Recovery of Dynamical Structures for Applications in Flexible Macro-Molecules in Cryo-EM pdf

Joakim Andén, Roy R. Lederman, Amit Singer, 2019, Inverse problems.

Heterogeneous multireference alignment: A single pass approach

Roy R. Lederman, Amit Singer, Tamir Bendory, 2017, 2018 52nd Annual Conference on Information Sciences and Systems (CISS).

Diffusion operators for multimodal data analysis

Roy R. Lederman, Hau-Tieng Wu, Ronen Talmon, 2019, Handbook of Numerical Analysis.

A Representation Theory Perspective on Simultaneous Alignment and Classification pdf

Roy R. Lederman, Amit Singer, A. Singer, 2016, Applied and Computational Harmonic Analysis.

On the Analytical and Numerical Properties of the Truncated Laplace Transform I

Roy R. Lederman, Vladimir Rokhlin, 2015, SIAM J. Numer. Anal..

On the Analytical and Numerical Properties of the Truncated Laplace Transform. Part II

Roy R. Lederman, Vladimir Rokhlin, V. Rokhlin, 2016, SIAM J. Numer. Anal..

Non-Canonical Hamiltonian Monte Carlo pdf

Roy R. Lederman, James A. Brofos, 2020, ArXiv.

Continuously heterogeneous hyper-objects in cryo-EM and 3-D movies of many temporal dimensions pdf

Roy R. Lederman, Amit Singer, A. Singer, 2017, ArXiv.

Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks pdf

Uri Shaham, Roy R. Lederman, Uri Shaham, 2015, ArXiv.

Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing pdf

Roy R. Lederman, Ronen Talmon, Ori Katz, 2020, ArXiv.

Extreme Values of the Fiedler Vector on Trees pdf

Roy R. Lederman, S. Steinerberger, S. Steinerberger, 2019, ArXiv.

Numerical Algorithms for the Computation of Generalized Prolate Spheroidal Functions pdf

Roy R. Lederman, 2017, ArXiv.

A random-permutations-based approach to fast read alignment

Roy R. Lederman, 2013, BMC Bioinformatics.

Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM pdf

Roy R. Lederman, Tianhao Wang, Zhou Fan, 2021, ArXiv.

On Numerical Considerations for Riemannian Manifold Hamiltonian Monte Carlo

Roy R. Lederman, James A. Brofos, 2021, 2111.09995.

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals

Roy R. Lederman, Marcus A. Brubaker, James A. Brofos, 2021, AISTATS.

Manifold Density Estimation via Generalized Dequantization pdf

Roy R. Lederman, Marcus A. Brubaker, James A. Brofos, 2021, ArXiv.

Evaluating the Implicit Midpoint Integrator for Riemannian Manifold Hamiltonian Monte Carlo

Roy R. Lederman, James A. Brofos, 2021 .

Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo

Roy R. Lederman, James A. Brofos, 2021, ICML.

Common Manifold Learning Using Alternating-Diffusion

Roy R. Lederman, R. Talmon, 2015 .

Learning the geometry of common latent variables using alternating-diffusion

Roy R. Lederman, R. Talmon, 2015 .

Ritornello: high fidelity control-free chromatin immunoprecipitation peak calling

Roy R. Lederman, Kelly P. Stanton, Y. Kluger, 2017, Nucleic acids research.

Common Variable Discovery and Invariant Representation Learning using Artificial Neural Networks

Uri Shaham, Roy R. Lederman, Uri Shaham, 2015 .

Lower Bounds for Truncated Fourier and Laplace Transforms

Roy R. Lederman, Stefan Steinerberger, 2017 .

A Note about the Resolution-Length Characteristics of DNA

Roy R. Lederman, 2013 .

ON NOISE AND UNKNOWN EVOLUTION OPERATORS IN DYNAMICAL SAMPLING

Roy R. Lederman, A. Aldroubi, Á. Lédeczi, 2018 .

Methods for Cryo-EM Single Particle Reconstruction of Macromolecules Having Continuous Heterogeneity.

Roy R. Lederman, F. Sigworth, B. Toader, 2022, Journal of molecular biology.

NON-UNIQUE GAMES OVER COMPACT GROUPS AND ORIENTATION ESTIMATION IN CRYO-EM pdf

Yutong Chen, Roy R. Lederman, Amit Singer, 2015, Inverse problems.

Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing

Roy R. Lederman, R. Talmon, Ori Katz, 2020, ArXiv.

Extreme Values of the Fiedler Vector on Trees

Roy R. Lederman, S. Steinerberger, 2019, ArXiv.

Building approximate overlap graphs for DNA assembly using random-permutations-based search

Roy R. Lederman, 2012 .

Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM

Roy R. Lederman, Z. Fan, Tianhao Wang, 2021, ArXiv.

Estimating conformational landscapes from Cryo-EM particles by 3D Zernike polynomials

Roy R. Lederman, D. Herreros, J. Filipovič, 2023, Nature Communications.

Integrating molecular models into CryoEM heterogeneity analysis using scalable high-resolution deep Gaussian mixture models.

Roy R. Lederman, Muyuan Chen, B. Toader, 2022, Journal of molecular biology.

Manifold Density Estimation via Generalized Dequantization

Roy R. Lederman, Marcus A. Brubaker, James A. Brofos, 2021, ArXiv.

Continuous heterogeneity analysis of CryoEM images through Zernike polynomials and spherical harmonics

Roy R. Lederman, I. Bahar, J. Carazo, 2021, Microscopy and Microanalysis.

Evaluating the Implicit Midpoint Integrator for Riemannian Manifold Hamiltonian Monte Carlo.

Roy R. Lederman, James A. Brofos, 2021, Proceedings of machine learning research.

On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena

Roy R. Lederman, B. Toader, 2023, arXiv.org.

Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo

Roy R. Lederman, James A. Brofos, Vivekananda Roy, 2023, 2301.01409.