Ronen Talmon

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 93

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. AAAI (2024)
Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets. ICASSP (2024)
David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR (2024)
Itay Zach, Tsvi G. Dvorkind, Ronen Talmon
Graph signal interpolation and extrapolation over manifold of Gaussian mixture. Signal Process. 216 (2024)
Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon, Mao-Pei Tsui
Landmark Alternating Diffusion. CoRR (2024)
Joseph S. Picard, Amitay Bar, Ronen Talmon
Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices. ICASSP (2024)
Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. CoRR (2024)
Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. CoRR (2024)
Ori Katz, Ronen Talmon, Uri Shaham
Supervised Domain Adaptation Based on Marginal and Conditional Distributions Alignment. Trans. Mach. Learn. Res. 2024 (2024)
Ido Cohen, Dan Valsky, Ronen Talmon
Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery With Manifold Learning. IEEE Trans. Biomed. Eng. 70 (4) (2023)
David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon
Few-Sample Feature Selection via Feature Manifold Learning. ICML (2023)
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. CoRR (2023)
Almog Lahav, Ronen Talmon
Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment. IEEE Trans. Signal Process. 71 (2023)
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. ICML (2023)
Tamir Baruch Yampolsky, Ronen Talmon, Ofir Lindenbaum
Domain and Modality Adaptation Using Multi-Kernel Matching. EUSIPCO (2023)
Felix Dietrich, Or Yair, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
Spectral Discovery of Jointly Smooth Features for Multimodal Data. SIAM J. Math. Data Sci. 4 (1) (2022)
Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel
Deep Isometric Maps. Image Vis. Comput. 123 (2022)
Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon
Discovery of Single Independent Latent Variable. NeurIPS (2022)
Tal Shnitzer, Hau-Tieng Wu, Ronen Talmon
Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators. CoRR (2022)
David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon
ManiFeSt: Manifold-based Feature Selection for Small Data Sets. CoRR (2022)
Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt A. Schalper, Yuval Kluger
Graph of graphs analysis for multiplexed data with application to imaging mass cytometry. PLoS Comput. Biol. 17 (3) (2021)
Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
Hyperbolic Procrustes Analysis Using Riemannian Geometry. NeurIPS (2021)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Audio source separation by activity probability detection with maximum correlation and simplex geometry. EURASIP J. Audio Speech Music. Process. 2021 (1) (2021)
Lior Aloni, Omer Bobrowski, Ronen Talmon
Joint Geometric and Topological Analysis of Hierarchical Datasets. ECML/PKDD (3) (2021)
Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon
Single Independent Component Recovery and Applications. CoRR (2021)
Panagiotis Papaioannou, Ronen Talmon, Daniela di Serafino, Constantinos I. Siettos
Time Series Forecasting Using Manifold Learning. CoRR (2021)
Ohad Rahamim, Ronen Talmon
Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator. ICASSP (2021)
Lior Aloni, Omer Bobrowski, Ronen Talmon
Joint Geometric and Topological Analysis of Hierarchical Datasets. CoRR (2021)
Ofir Lindenbaum, Amir Sagiv, Gal Mishne, Ronen Talmon
Kernel-based parameter estimation of dynamical systems with unknown observation functions. CoRR (2020)
Ori Katz, Roy R. Lederman, Ronen Talmon
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing. CoRR (2020)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Data-Driven Multi-Microphone Speaker Localization on Manifolds. Found. Trends Signal Process. 14 (1-2) (2020)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Global and Local Simplex Representations for Multichannel Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
Spectral Discovery of Jointly Smooth Features for Multimodal Data. CoRR (2020)
Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
Diffusion Maps Kalman Filter for a Class of Systems With Gradient Flows. IEEE Trans. Signal Process. 68 (2020)
Amitay Bar, Ronen Talmon, Ron Meir
Option Discovery in the Absence of Rewards with Manifold Analysis. CoRR (2020)
Or Yair, Almog Lahav, Ronen Talmon
Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation. CoRR (2020)
Maja Taseska, Toon van Waterschoot, Emanuël A. P. Habets, Ronen Talmon
Nonlinear Filtering With Variable Bandwidth Exponential Kernels. IEEE Trans. Signal Process. 68 (2020)
Pavel Lifshits, Ronen Talmon
Unsupervised Acoustic Condition Monitoring with Riemannian Geometry. MLSP (2020)
Amitay Bar, Ronen Talmon, Ron Meir
Option Discovery in the Absence of Rewards with Manifold Analysis. ICML (2020)
Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis
Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. CoRR (2019)
Andreas Brendel, Bracha Laufer-Goldshtein, Sharon Gannot, Ronen Talmon, Walter Kellermann
Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization. ICASSP (2019)
Or Yair, Mirela Ben-Chen, Ronen Talmon
Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation. IEEE Trans. Signal Process. 67 (7) (2019)
Tal Shnitzer, Mirela Ben-Chen, Leonidas J. Guibas, Ronen Talmon, Hau-Tieng Wu
Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators. SIAM J. Math. Data Sci. 1 (3) (2019)
Ariel Schwartz, Ronen Talmon
Intrinsic Isometric Manifold Learning with Application to Localization. SIAM J. Imaging Sci. 12 (3) (2019)
Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. WACV (2019)
Lukas Forster, Alexander Schmidt, Walter Kellermann, Tal Shnitzer, Ronen Talmon
Diffusion Maps Particle Filter. EUSIPCO (2019)
Ori Katz, Ronen Talmon, Yu-Lun Lo, Hau-Tieng Wu
Alternating diffusion maps for multimodal data fusion. Inf. Fusion 45 (2019)
Gal Maman, Or Yair, Danny Eytan, Ronen Talmon
Domain Adaptation Using Riemannian Geometry of Spd Matrices. ICASSP (2019)
Ariel Schwartz, Ronen Talmon
Intrinsic Isometric Manifold Learning with Application to Localization. CoRR (2018)
Aviad Levis, Yoav Y. Schechner, Ronen Talmon
Statistical Tomography of Microscopic Life. CVPR (2018)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Source Counting and Separation Based on Simplex Analysis. IEEE Trans. Signal Process. 66 (24) (2018)
David Dov, Ronen Talmon, Israel Cohen
Sequential Audio-Visual Correspondence With Alternating Diffusion Kernels. IEEE Trans. Signal Process. 66 (12) (2018)
Bracha Laufer-Goldshtein, Ronen Talmon, Israel Cohen, Sharon Gannot
Multi-View Source Localization Based on Power Ratios. ICASSP (2018)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Data-Driven Source Separation Based on Simplex Analysis. CoRR (2018)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Diarization and Separation Based on a Data-Driven Simplex. EUSIPCO (2018)
Vardan Papyan, Ronen Talmon
Multimodal latent variable analysis. Signal Process. 142 (2018)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
A Hybrid Approach for Speaker Tracking Based on TDOA and Data-Driven Models. IEEE ACM Trans. Audio Speech Lang. Process. 26 (4) (2018)
Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access 6 (2018)
Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
Data-Driven Tree Transforms and Metrics. IEEE Trans. Signal Inf. Process. over Networks 4 (3) (2018)
Gautam Pai, Ronen Talmon, Ron Kimmel
Parametric Manifold Learning Via Sparse Multidimensional Scaling. CoRR (2017)
Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
Diffusion Maps Kalman Filter. CoRR (2017)
Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
Data-Driven Tree Transforms and Metrics. CoRR (2017)
Jeremias Sulam, Yaniv Romano, Ronen Talmon
Dynamical system classification with diffusion embedding for ECG-based person identification. Signal Process. 130 (2017)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Semi-Supervised Source Localization on Multiple Manifolds With Distributed Microphones. IEEE ACM Trans. Audio Speech Lang. Process. 25 (7) (2017)
Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis. IEEE Trans. Signal Process. 65 (4) (2017)
Or Yair, Ronen Talmon
Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery. IEEE Trans. Signal Process. 65 (5) (2017)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Speaker Tracking on Multiple-Manifolds with Distributed Microphones. LVA/ICA (2017)
Ori Katz, Ronen Talmon, Yu-Lun Lo, Hau-Tieng Wu
Diffusion-based nonlinear filtering for multimodal data fusion with application to sleep stage assessment. CoRR (2017)
David Dov, Ronen Talmon, Israel Cohen
Multimodal Kernel Method for Activity Detection of Sound Sources. IEEE ACM Trans. Audio Speech Lang. Process. 25 (6) (2017)
Tal Shnitzer, Maya Rapaport, Noga Cohen, Natalya Yarovinsky, Ronen Talmon, Judith Aharon-Peretz
Alternating diffusion maps for dementia severity assessment. ICASSP (2017)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Manifold-based Bayesian inference for semi-supervised source localization. ICASSP (2016)
David Dov, Ronen Talmon, Israel Cohen
Kernel-Based Sensor Fusion With Application to Audio-Visual Voice Activity Detection. IEEE Trans. Signal Process. 64 (24) (2016)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Semi-Supervised Source Localization on Multiple-Manifolds with Distributed Microphones. CoRR (2016)
Carmeline J. Dsilva, Ronen Talmon, C. William Gear, Ronald R. Coifman, Ioannis G. Kevrekidis
Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems. SIAM J. Appl. Dyn. Syst. 15 (3) (2016)
Ron Amit, Gal Mishne, Ronen Talmon
Improving resolution in supervised patch-based target detection. ICASSP (2016)
Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
Manifold Learning with Contracting Observers for Data-driven Time-series Analysis. CoRR (2016)
David Dov, Ronen Talmon, Israel Cohen
Kernel Method for Voice Activity Detection in the Presence of Transients. IEEE ACM Trans. Audio Speech Lang. Process. 24 (12) (2016)
Or Yair, Ronen Talmon
Multimodal metric learning with local CCA. SSP (2016)
Or Yair, Ronen Talmon
Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery. CoRR (2016)
Ronen Talmon, Hau-Tieng Wu
Latent common manifold learning with alternating diffusion: analysis and applications. CoRR (2016)
Or Yair, Ronen Talmon, Ronald R. Coifman, Ioannis G. Kevrekidis
No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries. CoRR (2016)
David Dov, Ronen Talmon, Israel Cohen
Kernel-based Sensor Fusion with Application to Audio-Visual Voice Activity Detection. CoRR (2016)
Vardan Papyan, Ronen Talmon
Multimodal Latent Variable Analysis. CoRR (2016)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Semi-Supervised Sound Source Localization Based on Manifold Regularization. IEEE ACM Trans. Audio Speech Lang. Process. 24 (8) (2016)
Gal Mishne, Ronen Talmon, Ron Meir, Jackie Schiller, Maria Lavzin, Uri Dubin, Ronald R. Coifman
Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery. IEEE J. Sel. Top. Signal Process. 10 (7) (2016)
David Dov, Ronen Talmon, Israel Cohen
Audio-Visual Voice Activity Detection Using Diffusion Maps. IEEE ACM Trans. Audio Speech Lang. Process. 23 (4) (2015)
Gal Mishne, Ronen Talmon, Israel Cohen
Graph-Based Supervised Automatic Target Detection. IEEE Trans. Geosci. Remote. Sens. 53 (5) (2015)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Semi-Supervised Sound Source Localization Based on Manifold Regularization. CoRR (2015)
Roy R. Lederman, Ronen Talmon, Hau-Tieng Wu, Yu-Lun Lo, Ronald R. Coifman
Alternating diffusion for common manifold learning with application to sleep stage assessment. ICASSP (2015)
Hau-Tieng Wu, Ronen Talmon, Yu-Lun Lo
Assess Sleep Stage by Modern Signal Processing Techniques. IEEE Trans. Biomed. Eng. 62 (4) (2015)
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
A Study on Manifolds of Acoustic Responses. LVA/ICA (2015)
Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin, Ronald R. Coifman
Multivariate time-series analysis and diffusion maps. Signal Process. 116 (2015)
Ronen Talmon, Stéphane Mallat, Hitten Zaveri, Ronald R. Coifman
Manifold Learning for Latent Variable Inference in Dynamical Systems. IEEE Trans. Signal Process. 63 (15) (2015)
Václav Chudácek, Ronen Talmon, Joakim Andén, Stéphane Mallat, Ronald R. Coifman, Patrice Abry, Muriel Doret
Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. EMBC (2014)
Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
Graph-based bayesian approach for transient interference suppression. EUSIPCO (2013)
Ronen Talmon, Emanuël A. P. Habets
Blind reverberation time estimation by intrinsic modeling of reverberant speech. ICASSP (2013)
Ronen Talmon, Yoel Shkolnisky, Ronald R. Coifman
Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging. GSI (2013)
Ronen Talmon, Sharon Gannot
Relative transfer function identification on manifolds for supervised GSC beamformers. EUSIPCO (2013)
Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs. IEEE Signal Process. Mag. 30 (4) (2013)
Bracha Laufer, Ronen Talmon, Sharon Gannot
Relative transfer function modeling for supervised source localization. WASPAA (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ronen Talmon