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Proceedings of the National Academy of Sciences of the United States of America
|
July 13, 2013
Empirical intrinsic geometry for nonlinear modeling and time series filtering
Ronen Talmon, Ronald R Coifman
IEEE Transactions on Bio-Medical Engineering
|
October 17, 2022
Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery With Manifold Learning
Ido Cohen, Dan Valsky, Ronen Talmon
Nature Communications
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August 29, 2024
Uncovering avalanche sources via acceleration measurements
Emil Bronstein, Eilon Faran, Ronen Talmon, et al.
Physical Review Letters
|
October 5, 2020
Identifying Topological Phase Transitions in Experiments Using Manifold Learning
Eran Lustig, Or Yair, Ronen Talmon, et al.
IEEE Transactions on Bio-Medical Engineering
|
December 2, 2014
Assess sleep stage by modern signal processing techniques
Hau-Tieng Wu, Ronen Talmon, Yu-Lun Lo
Annals of Neurology
|
October 29, 2019
Layer- and Cell-Specific Recruitment Dynamics during Epileptic Seizures In Vivo
Fadi Aeed, Tal Shnitzer, Ronen Talmon, et al.
Chaos (Woodbury, N.Y.)
|
January 1, 2023
The spatiotemporal coupling in delay-coordinates dynamic mode decomposition
Emil Bronstein, Aviad Wiegner, Doron Shilo, et al.
Chaos (Woodbury, N.Y.)
|
July 12, 2021
Kernel-based parameter estimation of dynamical systems with unknown observation functions
Ofir Lindenbaum, Amir Sagiv, Gal Mishne, et al.
Israel Journal of Chemistry
|
April 30, 2019
Data-driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical Systems
David W Sroczynski, Or Yair, Ronen Talmon, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
August 24, 2017
Reconstruction of normal forms by learning informed observation geometries from data
Or Yair, Ronen Talmon, Ronald R Coifman, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 23) with videos related to
Sort By:
Page
of 3
Proceedings of the National Academy of Sciences of the United States of America
|
July 13, 2013
Empirical intrinsic geometry for nonlinear modeling and time series filtering
Ronen Talmon, Ronald R Coifman
IEEE Transactions on Bio-Medical Engineering
|
October 17, 2022
Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery With Manifold Learning
Ido Cohen, Dan Valsky, Ronen Talmon
Nature Communications
|
August 29, 2024
Uncovering avalanche sources via acceleration measurements
Emil Bronstein, Eilon Faran, Ronen Talmon, et al.
Physical Review Letters
|
October 5, 2020
Identifying Topological Phase Transitions in Experiments Using Manifold Learning
Eran Lustig, Or Yair, Ronen Talmon, et al.
IEEE Transactions on Bio-Medical Engineering
|
December 2, 2014
Assess sleep stage by modern signal processing techniques
Hau-Tieng Wu, Ronen Talmon, Yu-Lun Lo
Annals of Neurology
|
October 29, 2019
Layer- and Cell-Specific Recruitment Dynamics during Epileptic Seizures In Vivo
Fadi Aeed, Tal Shnitzer, Ronen Talmon, et al.
Chaos (Woodbury, N.Y.)
|
January 1, 2023
The spatiotemporal coupling in delay-coordinates dynamic mode decomposition
Emil Bronstein, Aviad Wiegner, Doron Shilo, et al.
Chaos (Woodbury, N.Y.)
|
July 12, 2021
Kernel-based parameter estimation of dynamical systems with unknown observation functions
Ofir Lindenbaum, Amir Sagiv, Gal Mishne, et al.
Israel Journal of Chemistry
|
April 30, 2019
Data-driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical Systems
David W Sroczynski, Or Yair, Ronen Talmon, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
August 24, 2017
Reconstruction of normal forms by learning informed observation geometries from data
Or Yair, Ronen Talmon, Ronald R Coifman, et al.
Page
of 3