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Brofos, James A; Brubaker, Marcus A; Lederman, Roy R

Manifold Density Estimation via Generalized Dequantization Technical Report

2021, (arXiv: 2102.07143).

Abstract | Links | BibTeX | Tags: Algorithms, Computer Science - Machine Learning, Density estimation, Manifolds, Statistics - Machine Learning

Brofos, James; Lederman, Roy R

Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo Inproceedings

In: International Conference on Machine Learning, pp. 1072–1081, PMLR, 2021, (ISSN: 2640-3498).

Links | BibTeX | Tags: HMC, Manifolds, MCMC, Numerical Analysis

Brofos, James A; Lederman, Roy R

Magnetic Manifold Hamiltonian Monte Carlo Technical Report

2020, (arXiv: 2010.07753).

Abstract | Links | BibTeX | Tags: Algorithms, Computer Science - Machine Learning, HMC, Manifolds, MCMC, Statistics - Machine Learning

Lederman, Roy R; Talmon, Ronen; Wu, Hau-tieng; Lo, Yu-Lun; Coifman, Ronald R

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

In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5758–5762, 2015, (ISSN: 2379-190X).

Abstract | Links | BibTeX | Tags: Alternating Diffusion, Common variable, diffusion maps, Kernel, learning (artificial intelligence), Manifolds, multimodal, multimodal respiratory signals, multimodal signal processing, Physiology, Sensitivity, Sensor phenomena and characterization, signal processing, sleep, sleep stage assessment, standard manifold learning method, time series