Or Yair

Engineering · Physical Sciences

8h-index426citations19works0.02yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(8), Blind Source Separation Techniques(8), Neural Networks and Applications(4), Model Reduction and Neural Networks(4), Cognitive Radio Networks and Spectrum Sensing(3)

Publications19 total

Spectral Discovery of Jointly Smooth Features for Multimodal Data
SIAM Journal on Mathematics of Data Science·2022· 10 citedOpen Access
Identifying Topological Phase Transitions in Experiments Using Manifold Learning
Physical Review Letters·2020· 34 citedOpen Access
Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation
arXiv (Cornell University)·2020· 1 citedOpen Access
Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation.
arXiv (Cornell University)·2020Open Access
Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation
arXiv (Cornell University)·2019· 8 citedOpen Access
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices
arXiv (Cornell University)·2019· 3 citedOpen Access
Domain Adaptation Using Riemannian Geometry of Spd Matrices
2019· 10 cited
Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation
IEEE Transactions on Signal Processing·2019· 114 citedOpen Access
Data‐driven Evolution Equation Reconstruction for Parameter‐Dependent Nonlinear Dynamical Systems
Israel Journal of Chemistry·2018· 4 citedOpen Access
Classifying Photonic Topological Phases Using Manifold Learning
Conference on Lasers and Electro-Optics·2018
Reconstruction of normal forms by learning informed observation geometries from data
Proceedings of the National Academy of Sciences·2017· 66 citedOpen Access
CaSCADE: Compressed Carrier and DOA Estimation
IEEE Transactions on Signal Processing·2017· 122 cited
No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries
arXiv (Cornell University)·2016· 4 citedOpen Access
Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery
IEEE Transactions on Signal Processing·2016· 18 citedOpen Access
Multimodal metric learning with local CCA
2016· 2 cited
CaSCADE: Compressed Carrier and DOA Estimation
arXiv (Cornell University)·2016· 3 citedOpen Access
Uniform Linear Array Based Spectrum Sensing from Sub-Nyquist Samples
2015 IEEE Global Communications Conference (GLOBECOM)·2015· 2 cited
Joint spectrum sensing and direction of arrival recovery from sub-Nyquist samples
2015· 24 cited
Uniform Linear Array Based Spectrum Sensing from Sub-Nyquist Samples
2015 IEEE Global Communications Conference (GLOBECOM)·2014· 1 cited

Frequent Co-authors

Ronen Talmon(14), Ioannis G. Kevrekidis(6), Yonina C. Eldar(5), Déborah Cohen(4), Shahar Stein(4), Felix Dietrich(3), Ronald R. Coifman(2), Eran Lustig(2), Mordechai Segev(2), Almog Lahav(2), Shahar Stein Ioushua(1), Mirela Ben‐Chen(1), Rotem Mulayoff(1), Gal Maman(1), Danny Eytan(1), David W. Sroczynski(1), Deborah A. Cohen(1)