Multichannel speech enhancement using convolutive transfer function approximation in reverberant environments. - Ronen Talmon; Israel Cohen; Sharon Gannot (ICASSP, 2009)

Relative Transfer Function Identification Using Convolutive Transfer Function Approximation. - Ronen Talmon; Israel Cohen; Sharon Gannot (IEEE Trans. Speech Audio Process., 2009)

Convolutive Transfer Function Generalized Sidelobe Canceler. - Ronen Talmon; Israel Cohen; Sharon Gannot (IEEE Trans. Speech Audio Process., 2009)

Speech enhancement in transient noise environment using diffusion filtering. - Ronen Talmon; Israel Cohen; Sharon Gannot (ICASSP, 2010)

Speaker identification using diffusion maps. - Yan Michalevsky; Ronen Talmon; Israel Cohen (EUSIPCO, 2011)

Clustering and suppression of transient noise in speech signals using diffusion maps. - Ronen Talmon; Israel Cohen; Sharon Gannot (ICASSP, 2011)

Supervised source localization using diffusion kernels. - Ronen Talmon; Israel Cohen; Sharon Gannot (WASPAA, 2011)

Transient Noise Reduction Using Nonlocal Diffusion Filters. - Ronen Talmon; Israel Cohen; Sharon Gannot (IEEE Trans. Speech Audio Process., 2011)

Supervised system identification based on local PCA models. - Tomer Koren; Ronen Talmon; Israel Cohen (ICASSP, 2012)

Transient Interference Suppression in Speech Signals Based on the OM-LSA Algorithm. - Ariel Hirszhorn; David Dov; Ronen Talmon; Israel Cohen (IWAENC, 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)

Parametrization of Linear Systems Using Diffusion Kernels. - Ronen Talmon; Dan Kushnir; Ronald R. Coifman; Israel Cohen; Sharon Gannot (IEEE Trans. Signal Process., 2012)

Graph-based bayesian approach for transient interference suppression. - Ronen Talmon; Israel Cohen; Sharon Gannot; Ronald R. Coifman (EUSIPCO, 2013)

Relative transfer function identification on manifolds for supervised GSC beamformers. - Ronen Talmon; Sharon Gannot (EUSIPCO, 2013)

Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging. - Ronen Talmon; Yoel Shkolnisky; Ronald R. Coifman (GSI, 2013)

Blind reverberation time estimation by intrinsic modeling of reverberant speech. - Ronen Talmon; Emanuël A. P. Habets (ICASSP, 2013)

Relative transfer function modeling for supervised source localization. - Bracha Laufer; Ronen Talmon; Sharon Gannot (WASPAA, 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)

Single-Channel Transient Interference Suppression With Diffusion Maps. - Ronen Talmon; Israel Cohen; Sharon Gannot (IEEE Trans. Speech Audio Process., 2013)

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 (EMBC, 2014)

A Study on Manifolds of Acoustic Responses. - Bracha Laufer-Goldshtein; Ronen Talmon; Sharon Gannot (LVA/ICA, 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 (ICASSP, 2015)

Multivariate time-series analysis and diffusion maps. - Wenzhao Lian; Ronen Talmon; Hitten Zaveri; Lawrence Carin; Ronald R. Coifman (Signal Process., 2015)

Audio-Visual Voice Activity Detection Using Diffusion Maps. - David Dov; Ronen Talmon; Israel Cohen (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Assess Sleep Stage by Modern Signal Processing Techniques. - Hau-Tieng Wu; Ronen Talmon; Yu-Lun Lo (IEEE Trans. Biomed. Eng., 2015)

Graph-Based Supervised Automatic Target Detection. - Gal Mishne; Ronen Talmon; Israel Cohen (IEEE Trans. Geosci. Remote. Sens., 2015)

Manifold Learning for Latent Variable Inference in Dynamical Systems. - Ronen Talmon; Stéphane Mallat; Hitten Zaveri; Ronald R. Coifman (IEEE Trans. Signal Process., 2015)

Improving resolution in supervised patch-based target detection. - Ron Amit; Gal Mishne; Ronen Talmon (ICASSP, 2016)

Manifold-based Bayesian inference for semi-supervised source localization. - Bracha Laufer-Goldshtein; Ronen Talmon; Sharon Gannot (ICASSP, 2016)

Multimodal metric learning with local CCA. - Or Yair; Ronen Talmon (SSP, 2016)

Latent common manifold learning with alternating diffusion: analysis and applications. - Ronen Talmon; Hau-Tieng Wu (CoRR, 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)

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)

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)

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)

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-Based Sensor Fusion With Application to Audio-Visual Voice Activity Detection. - David Dov; Ronen Talmon; Israel Cohen (IEEE Trans. Signal Process., 2016)

Speaker Tracking on Multiple-Manifolds with Distributed Microphones. - Bracha Laufer-Goldshtein; Ronen Talmon; Sharon Gannot (LVA/ICA, 2017)

Alternating diffusion maps for dementia severity assessment. - Tal Shnitzer; Maya Rapaport; Noga Cohen; Natalya Yarovinsky; Ronen Talmon; Judith Aharon-Peretz (ICASSP, 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)

Parametric Manifold Learning Via Sparse Multidimensional Scaling. - Gautam Pai 001; Ronen Talmon; Ron Kimmel (CoRR, 2017)

Diffusion Maps Kalman Filter. - Tal Shnitzer; Ronen Talmon; Jean-Jacques E. Slotine (CoRR, 2017)

Dynamical system classification with diffusion embedding for ECG-based person identification. - Jeremias Sulam; Yaniv Romano; Ronen Talmon (Signal 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)

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)

Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis. - Tal Shnitzer; Ronen Talmon; Jean-Jacques E. Slotine (IEEE Trans. Signal Process., 2017)

Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery. - Or Yair; Ronen Talmon (IEEE Trans. Signal Process., 2017)

Statistical Tomography of Microscopic Life. - Aviad Levis; Yoav Y. Schechner; Ronen Talmon (CVPR, 2018)

Diarization and Separation Based on a Data-Driven Simplex. - Bracha Laufer-Goldshtein; Ronen Talmon; Sharon Gannot (EUSIPCO, 2018)

Multi-View Source Localization Based on Power Ratios. - Bracha Laufer-Goldshtein; Ronen Talmon; Israel Cohen; Sharon Gannot (ICASSP, 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)

Data-Driven Source Separation Based on Simplex Analysis. - Bracha Laufer-Goldshtein; Ronen Talmon; Sharon Gannot (CoRR, 2018)

Multimodal latent variable analysis. - Vardan Papyan; Ronen Talmon (Signal Process., 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)

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)

Sequential Audio-Visual Correspondence With Alternating Diffusion Kernels. - David Dov; Ronen Talmon; Israel Cohen (IEEE Trans. Signal Process., 2018)

Source Counting and Separation Based on Simplex Analysis. - Bracha Laufer-Goldshtein; Ronen Talmon; Sharon Gannot (IEEE Trans. Signal Process., 2018)

Diffusion Maps Particle Filter. - Lukas Forster; Alexander Schmidt 004; Walter Kellermann; Tal Shnitzer; Ronen Talmon (EUSIPCO, 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 (ICASSP, 2019)

Domain Adaptation Using Riemannian Geometry of Spd Matrices. - Gal Maman; Or Yair; Danny Eytan; Ronen Talmon (ICASSP, 2019)

DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. - Gautam Pai 001; Ronen Talmon; Alexander M. Bronstein; Ron Kimmel (WACV, 2019)

Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. - Or Yair; Felix Dietrich; Ronen Talmon; Ioannis G. Kevrekidis (CoRR, 2019)

Alternating diffusion maps for multimodal data fusion. - Ori Katz; Ronen Talmon; Yu-Lun Lo; Hau-Tieng Wu (Inf. Fusion, 2019)

Intrinsic Isometric Manifold Learning with Application to Localization. - Ariel Schwartz; Ronen Talmon (SIAM J. Imaging Sci., 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)

Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation. - Or Yair; Mirela Ben-Chen; Ronen Talmon (IEEE Trans. Signal Process., 2019)

Option Discovery in the Absence of Rewards with Manifold Analysis. - Amitay Bar; Ronen Talmon; Ron Meir (ICML, 2020)

Unsupervised Acoustic Condition Monitoring with Riemannian Geometry. - Pavel Lifshits; Ronen Talmon (MLSP, 2020)

Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation. - Or Yair; Almog Lahav; 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)

Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing. - Ori Katz; Roy R. Lederman; Ronen Talmon (CoRR, 2020)

Data-Driven Multi-Microphone Speaker Localization on Manifolds. - Bracha Laufer-Goldshtein; Ronen Talmon; Sharon Gannot (Found. Trends 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)

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)

Nonlinear Filtering With Variable Bandwidth Exponential Kernels. - Maja Taseska; Toon van Waterschoot; Emanuël A. P. Habets; Ronen Talmon (IEEE Trans. Signal Process., 2020)

Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator. - Ohad Rahamim; Ronen Talmon (ICASSP, 2021)

Hyperbolic Procrustes Analysis Using Riemannian Geometry. - Ya-Wei Eileen Lin; Yuval Kluger; Ronen Talmon (NeurIPS, 2021)

Joint Geometric and Topological Analysis of Hierarchical Datasets. - Lior Aloni; Omer Bobrowski; Ronen Talmon (ECML/PKDD (3), 2021)

Time Series Forecasting Using Manifold Learning. - Panagiotis Papaioannou; Ronen Talmon; Daniela di Serafino; Constantinos I. Siettos (CoRR, 2021)

Single Independent Component Recovery and Applications. - Uri Shaham 001; Jonathan Svirsky; Ori Katz; Ronen Talmon (CoRR, 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)

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)

Discovery of Single Independent Latent Variable. - Uri Shaham 001; Jonathan Svirsky; Ori Katz; Ronen Talmon (NeurIPS, 2022)

Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators. - Tal Shnitzer; Hau-Tieng Wu; Ronen Talmon (CoRR, 2022)

ManiFeSt: Manifold-based Feature Selection for Small Data Sets. - David Cohen; Tal Shnitzer; Yuval Kluger; Ronen Talmon (CoRR, 2022)

Deep Isometric Maps. - Gautam Pai 001; Alex M. Bronstein; Ronen Talmon; Ron Kimmel (Image Vis. Comput., 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)

Domain and Modality Adaptation Using Multi-Kernel Matching. - Tamir Baruch Yampolsky; Ronen Talmon; Ofir Lindenbaum (EUSIPCO, 2023)

Few-Sample Feature Selection via Feature Manifold Learning. - David Cohen; Tal Shnitzer; Yuval Kluger; Ronen Talmon (ICML, 2023)

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. - Ya-Wei Eileen Lin; Ronald R. Coifman; Gal Mishne; Ronen Talmon (ICML, 2023)

Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment. - Almog Lahav; Ronen Talmon (IEEE Trans. Signal Process., 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., 2023)

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. - Amitay Bar; Rotem Mulayoff; Tomer Michaeli; Ronen Talmon (AAAI, 2024)

Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets. - Ya-Wei Eileen Lin; Yuval Kluger; Ronen Talmon (ICASSP, 2024)

Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices. - Joseph S. Picard; Amitay Bar; Ronen Talmon (ICASSP, 2024)

Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. - Ya-Wei Eileen Lin; Ronen Talmon; Ron Levie (NeurIPS, 2024)

Landmark Alternating Diffusion. - Sing-Yuan Yeh; Hau-Tieng Wu; Ronen Talmon; Mao-Pei Tsui (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)

Supervised Domain Adaptation Based on Marginal and Conditional Distributions Alignment. - Ori Katz; Ronen Talmon; Uri Shaham 001 (Trans. Mach. Learn. Res., 2024)

On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation. - Amitay Bar; Ronen Talmon (IEEE Trans. Signal Process., 2024)

Graph signal interpolation and extrapolation over manifold of Gaussian mixture. - Itay Zach; Tsvi G. Dvorkind; Ronen Talmon (Signal Process., 2024)

Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. - Thomas Dagès; Simon Weber 002; Ya-Wei Eileen Lin; Ronen Talmon; Daniel Cremers; Michael Lindenbaum; Alfred M. Bruckstein; Ron Kimmel (CVPR, 2025)

Hyperbolic Distance Based on EMD and Diffusion for Hyperspectral Imaging. - Elad Lavi; Amir Bourvine; Ya-Wei Eileen Lin; Ronen Talmon (ICASSP, 2025)

RTF Estimation Using Riemannian Geometry for Speech Enhancement in the Presence of Interferences. - Or Ronai; Yuval Sitton; Amitay Bar; Ronen Talmon (ICASSP, 2025)

Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. - Ya-Wei Eileen Lin; Ronald R. Coifman; Gal Mishne; Ronen Talmon (ICLR, 2025)

Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion. - Harel Mendelman; Ronen Talmon (ICLR, 2025)

Multimodal manifold learning using kernel interpolation along geodesic paths. - Ori Katz; Roy R. Lederman; Ronen Talmon (Inf. Fusion, 2025)

Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance. - Ya-Wei Eileen Lin; Ronald R. Coifman; Gal Mishne; Ronen Talmon (CoRR, 2025)

It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph. - Harel Mendelman; Haggai Maron; Ronen Talmon (CoRR, 2025)

Learning Shared Representations from Unpaired Data. - Amitai Yacobi; Nir Ben-Ari; Ronen Talmon; Uri Shaham 001 (CoRR, 2025)

Enhancing VICReg: Random-Walk Pairing for Improved Generalization and Better Global Semantics Capturing. - Idan Simai; Ronen Talmon; Uri Shaham 001 (CoRR, 2025)