Ronen Talmon - RankMe

130 papers A* 11A 1Misc 17Journal 84Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2025	J	`jnl`	Enhancing VICReg: Random-Walk Pairing for Improved Generalization and Better Global Semantics Capturing. CoRR Idan Simai, Ronen Talmon, Uri Shaham
2025	A*	`conf`	Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. CVPR Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025	J	`jnl`	Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. CoRR Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025	J	`jnl`	Geometric Optimal Transport for Unsupervised Domain Adaptation. Trans. Mach. Learn. Res. Gal Maman, Ronen Talmon
2025	Misc	`conf`	Hyperbolic Distance Based on EMD and Diffusion for Hyperspectral Imaging. ICASSP Elad Lavi, Amir Bourvine, Ya-Wei Eileen Lin, Ronen Talmon
2025	J	`jnl`	It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph. CoRR Harel Mendelman, Haggai Maron, Ronen Talmon
2025	J	`jnl`	Landmark Alternating Diffusion. SIAM J. Math. Data Sci. Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon, Mao-Pei Tsui
2025	J	`jnl`	Learning Shared Representations from Unpaired Data. CoRR Amitai Yacobi, Nir Ben-Ari, Ronen Talmon, Uri Shaham
2025	J	`jnl`	Multimodal manifold learning using kernel interpolation along geodesic paths. Inf. Fusion Ori Katz, Roy R. Lederman, Ronen Talmon
2025	Misc	`conf`	RTF Estimation Using Riemannian Geometry for Speech Enhancement in the Presence of Interferences. ICASSP Or Ronai, Yuval Sitton, Amitay Bar, Ronen Talmon
2025	—	`conf`	SAMP++: Robust Structure-Aware Matrix Pencil. EUSIPCO Yehonatan-Itay Segman, Alon Amar, Ronen Talmon
2025	A*	`conf`	Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion. ICLR Harel Mendelman, Ronen Talmon
2025	A*	`conf`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. ICLR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2024	Misc	`conf`	Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices. ICASSP Joseph S. Picard, Amitay Bar, Ronen Talmon
2024	A*	`conf`	Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. NeurIPS Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
2024	J	`jnl`	Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. CoRR Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
2024	J	`jnl`	Graph signal interpolation and extrapolation over manifold of Gaussian mixture. Signal Process. Itay Zach, Tsvi G. Dvorkind, Ronen Talmon
2024	Misc	`conf`	Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets. ICASSP Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
2024	J	`jnl`	Landmark Alternating Diffusion. CoRR Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon, Mao-Pei Tsui
2024	J	`jnl`	On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation. IEEE Trans. Signal Process. Amitay Bar, Ronen Talmon
2024	J	`jnl`	On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis
2024	J	`jnl`	Supervised Domain Adaptation Based on Marginal and Conditional Distributions Alignment. Trans. Mach. Learn. Res. Ori Katz, Ronen Talmon, Uri Shaham
2024	A*	`conf`	The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. AAAI Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon
2024	J	`jnl`	The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. CoRR Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon
2024	J	`jnl`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	—	`conf`	Domain and Modality Adaptation Using Multi-Kernel Matching. EUSIPCO Tamir Baruch Yampolsky, Ronen Talmon, Ofir Lindenbaum
2023	A*	`conf`	Few-Sample Feature Selection via Feature Manifold Learning. ICML David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon
2023	A*	`conf`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. ICML Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	J	`jnl`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	J	`jnl`	Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment. IEEE Trans. Signal Process. Almog Lahav, Ronen Talmon
2023	J	`jnl`	Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery With Manifold Learning. IEEE Trans. Biomed. Eng. Ido Cohen, Dan Valsky, Ronen Talmon
2022	J	`jnl`	Deep Isometric Maps. Image Vis. Comput. Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel
2022	A*	`conf`	Discovery of Single Independent Latent Variable. NeurIPS Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon
2022	J	`jnl`	ManiFeSt: Manifold-based Feature Selection for Small Data Sets. CoRR David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon
2022	J	`jnl`	Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators. CoRR Tal Shnitzer, Hau-Tieng Wu, Ronen Talmon
2022	J	`jnl`	Spectral Discovery of Jointly Smooth Features for Multimodal Data. SIAM J. Math. Data Sci. Felix Dietrich, Or Yair, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
2021	Misc	`conf`	Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator. ICASSP Ohad Rahamim, Ronen Talmon
2021	J	`jnl`	Audio source separation by activity probability detection with maximum correlation and simplex geometry. EURASIP J. Audio Speech Music. Process. Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2021	J	`jnl`	Graph of graphs analysis for multiplexed data with application to imaging mass cytometry. PLoS Comput. Biol. Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt A. Schalper, Yuval Kluger
2021	A*	`conf`	Hyperbolic Procrustes Analysis Using Riemannian Geometry. NeurIPS Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
2021	—	`conf`	Joint Geometric and Topological Analysis of Hierarchical Datasets. ECML/PKDD (3) Lior Aloni, Omer Bobrowski, Ronen Talmon
2021	J	`jnl`	Joint Geometric and Topological Analysis of Hierarchical Datasets. CoRR Lior Aloni, Omer Bobrowski, Ronen Talmon
2021	J	`jnl`	Single Independent Component Recovery and Applications. CoRR Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon
2021	J	`jnl`	Time Series Forecasting Using Manifold Learning. CoRR Panagiotis Papaioannou, Ronen Talmon, Daniela di Serafino, Constantinos I. Siettos
2020	J	`jnl`	Data-Driven Multi-Microphone Speaker Localization on Manifolds. Found. Trends Signal Process. Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2020	J	`jnl`	Diffusion Maps Kalman Filter for a Class of Systems With Gradient Flows. IEEE Trans. Signal Process. Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
2020	J	`jnl`	Global and Local Simplex Representations for Multichannel Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2020	J	`jnl`	Kernel-based parameter estimation of dynamical systems with unknown observation functions. CoRR Ofir Lindenbaum, Amir Sagiv, Gal Mishne, Ronen Talmon
2020	J	`jnl`	Nonlinear Filtering With Variable Bandwidth Exponential Kernels. IEEE Trans. Signal Process. Maja Taseska, Toon van Waterschoot, Emanuël A. P. Habets, Ronen Talmon
2020	A*	`conf`	Option Discovery in the Absence of Rewards with Manifold Analysis. ICML Amitay Bar, Ronen Talmon, Ron Meir
2020	J	`jnl`	Option Discovery in the Absence of Rewards with Manifold Analysis. CoRR Amitay Bar, Ronen Talmon, Ron Meir
2020	J	`jnl`	Spectral Discovery of Jointly Smooth Features for Multimodal Data. CoRR Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
2020	J	`jnl`	Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing. CoRR Ori Katz, Roy R. Lederman, Ronen Talmon
2020	J	`jnl`	Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation. CoRR Or Yair, Almog Lahav, Ronen Talmon
2020	—	`conf`	Unsupervised Acoustic Condition Monitoring with Riemannian Geometry. MLSP Pavel Lifshits, Ronen Talmon
2019	J	`jnl`	Alternating diffusion maps for multimodal data fusion. Inf. Fusion Ori Katz, Ronen Talmon, Yu-Lun Lo, Hau-Tieng Wu
2019	A	`conf`	DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. WACV Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel
2019	—	`conf`	Diffusion Maps Particle Filter. EUSIPCO Lukas Forster, Alexander Schmidt, Walter Kellermann, Tal Shnitzer, Ronen Talmon
2019	Misc	`conf`	Domain Adaptation Using Riemannian Geometry of Spd Matrices. ICASSP Gal Maman, Or Yair, Danny Eytan, Ronen Talmon
2019	J	`jnl`	Intrinsic Isometric Manifold Learning with Application to Localization. SIAM J. Imaging Sci. Ariel Schwartz, Ronen Talmon
2019	Misc	`conf`	Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization. ICASSP Andreas Brendel, Bracha Laufer-Goldshtein, Sharon Gannot, Ronen Talmon, Walter Kellermann
2019	J	`jnl`	Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. CoRR Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis
2019	J	`jnl`	Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation. IEEE Trans. Signal Process. Or Yair, Mirela Ben-Chen, Ronen Talmon
2019	J	`jnl`	Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators. SIAM J. Math. Data Sci. Tal Shnitzer, Mirela Ben-Chen, Leonidas J. Guibas, Ronen Talmon, Hau-Tieng Wu
2018	J	`jnl`	A Hybrid Approach for Speaker Tracking Based on TDOA and Data-Driven Models. IEEE ACM Trans. Audio Speech Lang. Process. Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2018	J	`jnl`	An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
2018	J	`jnl`	Data-Driven Source Separation Based on Simplex Analysis. CoRR Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2018	J	`jnl`	Data-Driven Tree Transforms and Metrics. IEEE Trans. Signal Inf. Process. over Networks Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
2018	—	`conf`	Diarization and Separation Based on a Data-Driven Simplex. EUSIPCO Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2018	J	`jnl`	Intrinsic Isometric Manifold Learning with Application to Localization. CoRR Ariel Schwartz, Ronen Talmon
2018	Misc	`conf`	Multi-View Source Localization Based on Power Ratios. ICASSP Bracha Laufer-Goldshtein, Ronen Talmon, Israel Cohen, Sharon Gannot
2018	J	`jnl`	Multimodal latent variable analysis. Signal Process. Vardan Papyan, Ronen Talmon
2018	J	`jnl`	Sequential Audio-Visual Correspondence With Alternating Diffusion Kernels. IEEE Trans. Signal Process. David Dov, Ronen Talmon, Israel Cohen
2018	J	`jnl`	Source Counting and Separation Based on Simplex Analysis. IEEE Trans. Signal Process. Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2018	A*	`conf`	Statistical Tomography of Microscopic Life. CVPR Aviad Levis, Yoav Y. Schechner, Ronen Talmon
2017	Misc	`conf`	Alternating diffusion maps for dementia severity assessment. ICASSP Tal Shnitzer, Maya Rapaport, Noga Cohen, Natalya Yarovinsky, Ronen Talmon, Judith Aharon-Peretz
2017	J	`jnl`	Data-Driven Tree Transforms and Metrics. CoRR Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
2017	J	`jnl`	Diffusion Maps Kalman Filter. CoRR Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
2017	J	`jnl`	Diffusion-based nonlinear filtering for multimodal data fusion with application to sleep stage assessment. CoRR Ori Katz, Ronen Talmon, Yu-Lun Lo, Hau-Tieng Wu
2017	J	`jnl`	Dynamical system classification with diffusion embedding for ECG-based person identification. Signal Process. Jeremias Sulam, Yaniv Romano, Ronen Talmon
2017	J	`jnl`	Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery. IEEE Trans. Signal Process. Or Yair, Ronen Talmon
2017	J	`jnl`	Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis. IEEE Trans. Signal Process. Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
2017	J	`jnl`	Multimodal Kernel Method for Activity Detection of Sound Sources. IEEE ACM Trans. Audio Speech Lang. Process. David Dov, Ronen Talmon, Israel Cohen
2017	J	`jnl`	Parametric Manifold Learning Via Sparse Multidimensional Scaling. CoRR Gautam Pai, Ronen Talmon, Ron Kimmel
2017	J	`jnl`	Semi-Supervised Source Localization on Multiple Manifolds With Distributed Microphones. IEEE ACM Trans. Audio Speech Lang. Process. Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2017	—	`conf`	Speaker Tracking on Multiple-Manifolds with Distributed Microphones. LVA/ICA Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2016	J	`jnl`	Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems. SIAM J. Appl. Dyn. Syst. Carmeline J. Dsilva, Ronen Talmon, C. William Gear, Ronald R. Coifman, Ioannis G. Kevrekidis
2016	J	`jnl`	Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery. IEEE J. Sel. Top. Signal Process. Gal Mishne, Ronen Talmon, Ron Meir, Jackie Schiller, Maria Lavzin, Uri Dubin, Ronald R. Coifman
2016	Misc	`conf`	Improving resolution in supervised patch-based target detection. ICASSP Ron Amit, Gal Mishne, Ronen Talmon
2016	J	`jnl`	Kernel Method for Voice Activity Detection in the Presence of Transients. IEEE ACM Trans. Audio Speech Lang. Process. David Dov, Ronen Talmon, Israel Cohen
2016	J	`jnl`	Kernel-Based Sensor Fusion With Application to Audio-Visual Voice Activity Detection. IEEE Trans. Signal Process. David Dov, Ronen Talmon, Israel Cohen
2016	J	`jnl`	Kernel-based Sensor Fusion with Application to Audio-Visual Voice Activity Detection. CoRR David Dov, Ronen Talmon, Israel Cohen
2016	J	`jnl`	Latent common manifold learning with alternating diffusion: analysis and applications. CoRR Ronen Talmon, Hau-Tieng Wu
2016	J	`jnl`	Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery. CoRR Or Yair, Ronen Talmon
2016	J	`jnl`	Manifold Learning with Contracting Observers for Data-driven Time-series Analysis. CoRR Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine
2016	Misc	`conf`	Manifold-based Bayesian inference for semi-supervised source localization. ICASSP Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2016	J	`jnl`	Multimodal Latent Variable Analysis. CoRR Vardan Papyan, Ronen Talmon
2016	—	`conf`	Multimodal metric learning with local CCA. SSP Or Yair, Ronen Talmon
2016	J	`jnl`	No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries. CoRR Or Yair, Ronen Talmon, Ronald R. Coifman, Ioannis G. Kevrekidis
2016	J	`jnl`	Semi-Supervised Sound Source Localization Based on Manifold Regularization. IEEE ACM Trans. Audio Speech Lang. Process. Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2016	J	`jnl`	Semi-Supervised Source Localization on Multiple-Manifolds with Distributed Microphones. CoRR Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2015	—	`conf`	A Study on Manifolds of Acoustic Responses. LVA/ICA Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2015	Misc	`conf`	Alternating diffusion for common manifold learning with application to sleep stage assessment. ICASSP Roy R. Lederman, Ronen Talmon, Hau-Tieng Wu, Yu-Lun Lo, Ronald R. Coifman
2015	J	`jnl`	Assess Sleep Stage by Modern Signal Processing Techniques. IEEE Trans. Biomed. Eng. Hau-Tieng Wu, Ronen Talmon, Yu-Lun Lo
2015	J	`jnl`	Audio-Visual Voice Activity Detection Using Diffusion Maps. IEEE ACM Trans. Audio Speech Lang. Process. David Dov, Ronen Talmon, Israel Cohen
2015	J	`jnl`	Graph-Based Supervised Automatic Target Detection. IEEE Trans. Geosci. Remote. Sens. Gal Mishne, Ronen Talmon, Israel Cohen
2015	J	`jnl`	Manifold Learning for Latent Variable Inference in Dynamical Systems. IEEE Trans. Signal Process. Ronen Talmon, Stéphane Mallat, Hitten Zaveri, Ronald R. Coifman
2015	J	`jnl`	Multivariate time-series analysis and diffusion maps. Signal Process. Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin, Ronald R. Coifman
2015	J	`jnl`	Semi-Supervised Sound Source Localization Based on Manifold Regularization. CoRR Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
2014	—	`conf`	Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. EMBC Václav Chudácek, Ronen Talmon, Joakim Andén, Stéphane Mallat, Ronald R. Coifman, Patrice Abry, Muriel Doret
2013	Misc	`conf`	Blind reverberation time estimation by intrinsic modeling of reverberant speech. ICASSP Ronen Talmon, Emanuël A. P. Habets
2013	J	`jnl`	Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs. IEEE Signal Process. Mag. Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
2013	—	`conf`	Graph-based bayesian approach for transient interference suppression. EUSIPCO Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
2013	—	`conf`	Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging. GSI Ronen Talmon, Yoel Shkolnisky, Ronald R. Coifman
2013	—	`conf`	Relative transfer function identification on manifolds for supervised GSC beamformers. EUSIPCO Ronen Talmon, Sharon Gannot
2013	—	`conf`	Relative transfer function modeling for supervised source localization. WASPAA Bracha Laufer, Ronen Talmon, Sharon Gannot
2013	J	`jnl`	Single-Channel Transient Interference Suppression With Diffusion Maps. IEEE Trans. Speech Audio Process. Ronen Talmon, Israel Cohen, Sharon Gannot
2012	J	`jnl`	Parametrization of Linear Systems Using Diffusion Kernels. IEEE Trans. Signal Process. Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Israel Cohen, Sharon Gannot
2012	J	`jnl`	Supervised Graph-Based Processing for Sequential Transient Interference Suppression. IEEE Trans. Speech Audio Process. Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman
2012	Misc	`conf`	Supervised system identification based on local PCA models. ICASSP Tomer Koren, Ronen Talmon, Israel Cohen
2012	—	`conf`	Transient Interference Suppression in Speech Signals Based on the OM-LSA Algorithm. IWAENC Ariel Hirszhorn, David Dov, Ronen Talmon, Israel Cohen
2011	Misc	`conf`	Clustering and suppression of transient noise in speech signals using diffusion maps. ICASSP Ronen Talmon, Israel Cohen, Sharon Gannot
2011	—	`conf`	Speaker identification using diffusion maps. EUSIPCO Yan Michalevsky, Ronen Talmon, Israel Cohen
2011	—	`conf`	Supervised source localization using diffusion kernels. WASPAA Ronen Talmon, Israel Cohen, Sharon Gannot
2011	J	`jnl`	Transient Noise Reduction Using Nonlocal Diffusion Filters. IEEE Trans. Speech Audio Process. Ronen Talmon, Israel Cohen, Sharon Gannot
2010	Misc	`conf`	Speech enhancement in transient noise environment using diffusion filtering. ICASSP Ronen Talmon, Israel Cohen, Sharon Gannot
2009	J	`jnl`	Convolutive Transfer Function Generalized Sidelobe Canceler. IEEE Trans. Speech Audio Process. Ronen Talmon, Israel Cohen, Sharon Gannot
2009	Misc	`conf`	Multichannel speech enhancement using convolutive transfer function approximation in reverberant environments. ICASSP Ronen Talmon, Israel Cohen, Sharon Gannot
2009	J	`jnl`	Relative Transfer Function Identification Using Convolutive Transfer Function Approximation. IEEE Trans. Speech Audio Process. Ronen Talmon, Israel Cohen, Sharon Gannot