Ronen Talmon

According to our database, Ronen Talmon authored at least 102 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Multimodal manifold learning using kernel interpolation along geodesic paths.

Ori Katz, Roy R. Lederman, Ronen Talmon

Inf. Fusion, 2025

2024

Graph signal interpolation and extrapolation over manifold of Gaussian mixture.

Itay Zach, Tsvi G. Dvorkind, Ronen Talmon

Signal Process., March, 2024

Supervised Domain Adaptation Based on Marginal and Conditional Distributions Alignment.

Ori Katz, Ronen Talmon, Uri Shaham

Trans. Mach. Learn. Res., 2024

Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy.

Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

CoRR, 2024

On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them.

David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis

CoRR, 2024

Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters.

Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie

CoRR, 2024

Landmark Alternating Diffusion.

Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon, Mao-Pei Tsui

CoRR, 2024

Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices.

Joseph S. Picard, Amitay Bar, Ronen Talmon

Proceedings of the IEEE International Conference on Acoustics, 2024

Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets.

Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon

Proceedings of the IEEE International Conference on Acoustics, 2024

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank.

Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery With Manifold Learning.

Ido Cohen, Dan Valsky, Ronen Talmon

IEEE Trans. Biomed. Eng., April, 2023

Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment.

Almog Lahav, Ronen Talmon

IEEE Trans. Signal Process., 2023

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning.

Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

Proceedings of the International Conference on Machine Learning, 2023

Few-Sample Feature Selection via Feature Manifold Learning.

David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon

Proceedings of the International Conference on Machine Learning, 2023

Domain and Modality Adaptation Using Multi-Kernel Matching.

Tamir Baruch Yampolsky, Ronen Talmon, Ofir Lindenbaum

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Spectral Discovery of Jointly Smooth Features for Multimodal Data.

Felix Dietrich, Or Yair, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis

SIAM J. Math. Data Sci., 2022

Deep Isometric Maps.

Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel

Image Vis. Comput., 2022

ManiFeSt: Manifold-based Feature Selection for Small Data Sets.

David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon

CoRR, 2022

Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators.

Tal Shnitzer, Hau-Tieng Wu, Ronen Talmon

CoRR, 2022

Discovery of Single Independent Latent Variable.

Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry.

Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt A. Schalper, Yuval Kluger

PLoS Comput. Biol., 2021

Audio source separation by activity probability detection with maximum correlation and simplex geometry.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

EURASIP J. Audio Speech Music. Process., 2021

Single Independent Component Recovery and Applications.

Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon

CoRR, 2021

Time Series Forecasting Using Manifold Learning.

Panagiotis Papaioannou, Ronen Talmon, Daniela di Serafino, Constantinos I. Siettos

CoRR, 2021

Joint Geometric and Topological Analysis of Hierarchical Datasets.

Lior Aloni, Omer Bobrowski, Ronen Talmon

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Hyperbolic Procrustes Analysis Using Riemannian Geometry.

Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator.

Ohad Rahamim, Ronen Talmon

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Nonlinear Filtering With Variable Bandwidth Exponential Kernels.

Maja Taseska, Toon van Waterschoot, Emanuël A. P. Habets, Ronen Talmon

IEEE Trans. Signal Process., 2020

Diffusion Maps Kalman Filter for a Class of Systems With Gradient Flows.

Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine

IEEE Trans. Signal Process., 2020

Global and Local Simplex Representations for Multichannel Source Separation.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Data-Driven Multi-Microphone Speaker Localization on Manifolds.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

Found. Trends Signal Process., 2020

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

Ori Katz, Roy R. Lederman, Ronen Talmon

CoRR, 2020

Kernel-based parameter estimation of dynamical systems with unknown observation functions.

Ofir Lindenbaum, Amir Sagiv, Gal Mishne, Ronen Talmon

CoRR, 2020

Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation.

Or Yair, Almog Lahav, Ronen Talmon

CoRR, 2020

Unsupervised Acoustic Condition Monitoring with Riemannian Geometry.

Pavel Lifshits, Ronen Talmon

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Option Discovery in the Absence of Rewards with Manifold Analysis.

Amitay Bar, Ronen Talmon, Ron Meir

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation.

Or Yair, Mirela Ben-Chen, Ronen Talmon

IEEE Trans. Signal Process., 2019

Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators.

Tal Shnitzer, Mirela Ben-Chen, Leonidas J. Guibas, Ronen Talmon, Hau-Tieng Wu

SIAM J. Math. Data Sci., 2019

Intrinsic Isometric Manifold Learning with Application to Localization.

Ariel Schwartz, Ronen Talmon

SIAM J. Imaging Sci., 2019

Alternating diffusion maps for multimodal data fusion.

Ori Katz, Ronen Talmon, Yu-Lun Lo, Hau-Tieng Wu

Inf. Fusion, 2019

Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation.

Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis

CoRR, 2019

DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling.

Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Domain Adaptation Using Riemannian Geometry of Spd Matrices.

Gal Maman, Or Yair, Danny Eytan, Ronen Talmon

Proceedings of the IEEE International Conference on Acoustics, 2019

Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization.

Andreas Brendel, Bracha Laufer-Goldshtein, Sharon Gannot, Ronen Talmon, Walter Kellermann

Proceedings of the IEEE International Conference on Acoustics, 2019

Diffusion Maps Particle Filter.

Lukas Forster, Alexander Schmidt, Walter Kellermann, Tal Shnitzer, Ronen Talmon

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Source Counting and Separation Based on Simplex Analysis.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

IEEE Trans. Signal Process., 2018

Sequential Audio-Visual Correspondence With Alternating Diffusion Kernels.

David Dov, Ronen Talmon, Israel Cohen

IEEE Trans. Signal Process., 2018

Data-Driven Tree Transforms and Metrics.

Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger

IEEE Trans. Signal Inf. Process. over Networks, 2018

A Hybrid Approach for Speaker Tracking Based on TDOA and Data-Driven Models.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Multimodal latent variable analysis.

Vardan Papyan, Ronen Talmon

Signal Process., 2018

Data-Driven Source Separation Based on Simplex Analysis.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

CoRR, 2018

An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning.

Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis

IEEE Access, 2018

Multi-View Source Localization Based on Power Ratios.

Bracha Laufer-Goldshtein, Ronen Talmon, Israel Cohen, Sharon Gannot

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Diarization and Separation Based on a Data-Driven Simplex.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

Proceedings of the 26th European Signal Processing Conference, 2018

Statistical Tomography of Microscopic Life.

Aviad Levis, Yoav Y. Schechner, Ronen Talmon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery.

Or Yair, Ronen Talmon

IEEE Trans. Signal Process., 2017

Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis.

Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine

IEEE Trans. Signal Process., 2017

Semi-Supervised Source Localization on Multiple Manifolds With Distributed Microphones.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Multimodal Kernel Method for Activity Detection of Sound Sources.

David Dov, Ronen Talmon, Israel Cohen

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Dynamical system classification with diffusion embedding for ECG-based person identification.

Jeremias Sulam, Yaniv Romano, Ronen Talmon

Signal Process., 2017

Diffusion Maps Kalman Filter.

Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine

CoRR, 2017

Parametric Manifold Learning Via Sparse Multidimensional Scaling.

Gautam Pai, Ronen Talmon, Ron Kimmel

CoRR, 2017

Diffusion-based nonlinear filtering for multimodal data fusion with application to sleep stage assessment.

Ori Katz, Ronen Talmon, Yu-Lun Lo, Hau-Tieng Wu

CoRR, 2017

Alternating diffusion maps for dementia severity assessment.

Tal Shnitzer, Maya Rapaport, Noga Cohen, Natalya Yarovinsky, Ronen Talmon, Judith Aharon-Peretz

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Speaker Tracking on Multiple-Manifolds with Distributed Microphones.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016

Kernel-Based Sensor Fusion With Application to Audio-Visual Voice Activity Detection.

David Dov, Ronen Talmon, Israel Cohen

IEEE Trans. Signal Process., 2016

Semi-Supervised Sound Source Localization Based on Manifold Regularization.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Kernel Method for Voice Activity Detection in the Presence of Transients.

David Dov, Ronen Talmon, Israel Cohen

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems.

Carmeline J. Dsilva, Ronen Talmon, C. William Gear, Ronald R. Coifman, Ioannis G. Kevrekidis

SIAM J. Appl. Dyn. Syst., 2016

Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery.

Gal Mishne, Ronen Talmon, Ron Meir, Jackie Schiller, Maria Lavzin, Uri Dubin, Ronald R. Coifman

IEEE J. Sel. Top. Signal Process., 2016

No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries.

Or Yair, Ronen Talmon, Ronald R. Coifman, Ioannis G. Kevrekidis

CoRR, 2016

Latent common manifold learning with alternating diffusion: analysis and applications.

Ronen Talmon, Hau-Tieng Wu

CoRR, 2016

Multimodal metric learning with local CCA.

Or Yair, Ronen Talmon

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Manifold-based Bayesian inference for semi-supervised source localization.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Improving resolution in supervised patch-based target detection.

Ron Amit, Gal Mishne, Ronen Talmon

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Manifold Learning for Latent Variable Inference in Dynamical Systems.

Ronen Talmon, Stéphane Mallat, Hitten Zaveri, Ronald R. Coifman

IEEE Trans. Signal Process., 2015

Graph-Based Supervised Automatic Target Detection.

Gal Mishne, Ronen Talmon, Israel Cohen

IEEE Trans. Geosci. Remote. Sens., 2015

Assess Sleep Stage by Modern Signal Processing Techniques.

Hau-Tieng Wu, Ronen Talmon, Yu-Lun Lo

IEEE Trans. Biomed. Eng., 2015

Audio-Visual Voice Activity Detection Using Diffusion Maps.

David Dov, Ronen Talmon, Israel Cohen

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Multivariate time-series analysis and diffusion maps.

Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin, Ronald R. Coifman

Signal Process., 2015

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

Roy R. Lederman, Ronen Talmon, Hau-Tieng Wu, Yu-Lun Lo, Ronald R. Coifman

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Study on Manifolds of Acoustic Responses.

Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014

Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability.

Václav Chudácek, Ronen Talmon, Joakim Andén, Stéphane Mallat, Ronald R. Coifman, Patrice Abry, Muriel Doret

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Single-Channel Transient Interference Suppression With Diffusion Maps.

Ronen Talmon, Israel Cohen, Sharon Gannot

IEEE Trans. Speech Audio Process., 2013

Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs.

Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman

IEEE Signal Process. Mag., 2013

Relative transfer function modeling for supervised source localization.

Bracha Laufer, Ronen Talmon, Sharon Gannot

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Blind reverberation time estimation by intrinsic modeling of reverberant speech.

Ronen Talmon, Emanuël A. P. Habets

Proceedings of the IEEE International Conference on Acoustics, 2013

Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging.

Ronen Talmon, Yoel Shkolnisky, Ronald R. Coifman

Proceedings of the Geometric Science of Information - First International Conference, 2013

Relative transfer function identification on manifolds for supervised GSC beamformers.

Ronen Talmon, Sharon Gannot

Proceedings of the 21st European Signal Processing Conference, 2013

Graph-based bayesian approach for transient interference suppression.

Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Parametrization of Linear Systems Using Diffusion Kernels.

Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Israel Cohen, Sharon Gannot

IEEE Trans. Signal Process., 2012

Supervised Graph-Based Processing for Sequential Transient Interference Suppression.

Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman

IEEE Trans. Speech Audio Process., 2012

Transient Interference Suppression in Speech Signals Based on the OM-LSA Algorithm.

Ariel Hirszhorn, David Dov, Ronen Talmon, Israel Cohen

Proceedings of the IWAENC 2012 - International Workshop on Acoustic Signal Enhancement, Proceedings, RWTH Aachen University, Germany, September 4th, 2012

Supervised system identification based on local PCA models.

Tomer Koren, Ronen Talmon, Israel Cohen

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Transient Noise Reduction Using Nonlocal Diffusion Filters.

Ronen Talmon, Israel Cohen, Sharon Gannot

IEEE Trans. Speech Audio Process., 2011

Supervised source localization using diffusion kernels.

Ronen Talmon, Israel Cohen, Sharon Gannot

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

Clustering and suppression of transient noise in speech signals using diffusion maps.

Ronen Talmon, Israel Cohen, Sharon Gannot

Proceedings of the IEEE International Conference on Acoustics, 2011

Speaker identification using diffusion maps.

Yan Michalevsky, Ronen Talmon, Israel Cohen

Proceedings of the 19th European Signal Processing Conference, 2011

2010

Speech enhancement in transient noise environment using diffusion filtering.

Ronen Talmon, Israel Cohen, Sharon Gannot

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Convolutive Transfer Function Generalized Sidelobe Canceler.

Ronen Talmon, Israel Cohen, Sharon Gannot

IEEE Trans. Speech Audio Process., 2009

Relative Transfer Function Identification Using Convolutive Transfer Function Approximation.

Ronen Talmon, Israel Cohen, Sharon Gannot

IEEE Trans. Speech Audio Process., 2009

Multichannel speech enhancement using convolutive transfer function approximation in reverberant environments.

Ronen Talmon, Israel Cohen, Sharon Gannot

Proceedings of the IEEE International Conference on Acoustics, 2009