Related references
Note: Only part of the references are listed.Normalizing Flows: An Introduction and Review of Current Methods
Ivan Kobyzev et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)
Physics-Informed Gaussian Process Regression for Optical Fiber Communication Systems
Josh W. Nevin et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2021)
GrandPrix: scaling up the Bayesian GPLVM for single-cell data
Sumon Ahmed et al.
BIOINFORMATICS (2019)
Learning From the Optical Spectrum: Failure Detection and Identification
Behnam Shariati et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2019)
An Optical Communication's Perspective on Machine Learning and Its Applications
Faisal Nadeem Khan et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2019)
A Tutorial on Machine Learning for Failure Management in Optical Networks
Francesco Musumeci et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2019)
Message passing on networks with loops
George T. Cantwell et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM
Elias Giacoumidis et al.
FUTURE INTERNET (2019)
Mixture Models With a Prior on the Number of Components
Jeffrey W. Miller et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2018)
Machine-Learning Method for Quality of Transmission Prediction of Unestablished Lightpaths
Cristina Rottondi et al.
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING (2018)
Artificial intelligence (AI) methods in optical networks: A comprehensive survey
Javier Mata et al.
OPTICAL SWITCHING AND NETWORKING (2018)
A Learning Living Network With Open ROADMs
Shoichiro Oda et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2017)
Machine Learning Techniques for Optical Performance Monitoring From Directly Detected PDM-QAM Signals
Jakob Thrane et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2017)
Sparsity information and regularization in the horseshoe and other shrinkage priors
Juho Piironen et al.
ELECTRONIC JOURNAL OF STATISTICS (2017)
Nonlinearity Mitigation Using a Machine Learning Detector Based on k-Nearest Neighbors
Danshi Wang et al.
IEEE PHOTONICS TECHNOLOGY LETTERS (2016)
Machine Learning Techniques in Optical Communication
Darko Zibar et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2016)
Sparse identification for nonlinear optical communication systems: SINO method
Mariia Sorokina et al.
OPTICS EXPRESS (2016)
Scalable Wideband Principal Component Analysis via Microwave Photonics
Thomas Ferreira de Lima et al.
IEEE PHOTONICS JOURNAL (2016)
Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM
Tu Nguyen et al.
IEEE PHOTONICS JOURNAL (2016)
What to Do When K-Means Clustering Fails: A Simple yet Principled Alternative Algorithm
Yordan P. Raykov et al.
PLOS ONE (2016)
Application of Machine Learning Techniques for Amplitude and Phase Noise Characterization
Darko Zibar et al.
JOURNAL OF LIGHTWAVE TECHNOLOGY (2015)
Structured covariance principal component analysis for real-time onsite feature extraction and dimensionality reduction in hyperspectral imaging
Jaime Zabalza et al.
APPLIED OPTICS (2014)
Enhancement of sparse silicon retina-based stereo matching using belief propagation and two-stage postfiltering
Juergen Kogler et al.
JOURNAL OF ELECTRONIC IMAGING (2014)
Simultaneous Optical Performance Monitoring and Modulation Format/Bit-Rate Identification Using Principal Component Analysis
Ming Chieng Tan et al.
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING (2014)
Shortest node-disjoint paths on random graphs
C. De Bacco et al.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2014)
Image interpolation and denoising for division of focal plane sensors using Gaussian processes
Elad Gilboa et al.
OPTICS EXPRESS (2014)
Kernel-based whole-genome prediction of complex traits: a review
Gota Morota et al.
FRONTIERS IN GENETICS (2014)
Simulation as an engine of physical scene understanding
Peter W. Battaglia et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)
From the physics of interacting polymers to optimizing routes on the London Underground
Chi Ho Yeung et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)
Nonparameter Nonlinear Phase Noise Mitigation by Using M-ary Support Vector Machine for Coherent Optical Systems
Minliang Li et al.
IEEE PHOTONICS JOURNAL (2013)
Modal Characterization using Principal Component Analysis: application to Bessel, higher-order Gaussian beams and their superposition
A. Mourka et al.
SCIENTIFIC REPORTS (2013)
Competition for Shortest Paths on Sparse Graphs
Chi Ho Yeung et al.
PHYSICAL REVIEW LETTERS (2012)
Statistical-Physics-Based Reconstruction in Compressed Sensing
F. Krzakala et al.
PHYSICAL REVIEW X (2012)
The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing
Mohsen Bayati et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2011)
Phase Estimation Methods for Optical Coherent Detection Using Digital Signal Processing
Michael G. Taylor
JOURNAL OF LIGHTWAVE TECHNOLOGY (2009)
The Bayesian Lasso
Trevor Park et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2008)
Equilibration through local information exchange in networks
K. Y. Michael Wong et al.
PHYSICAL REVIEW E (2006)
How to compute loop corrections to the Bethe approximation
A Montanari et al.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2005)
Analytic and algorithmic solution of random satisfiability problems
M Mézard et al.
SCIENCE (2002)
Tighter decoding reliability bound for Gallager's error-correcting code
Y Kabashima et al.
PHYSICAL REVIEW E (2001)
A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum et al.
SCIENCE (2000)
Typical performance of Gallager-type error-correcting codes
Y Kabashima et al.
PHYSICAL REVIEW LETTERS (2000)
Share Paper
