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Ronen Talmon
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2020 – today
- 2025
- [j45]Ori Katz, Roy R. Lederman, Ronen Talmon:
Multimodal manifold learning using kernel interpolation along geodesic paths. Inf. Fusion 114: 102637 (2025) - 2024
- [j44]Itay Zach
, Tsvi G. Dvorkind, Ronen Talmon:
Graph signal interpolation and extrapolation over manifold of Gaussian mixture. Signal Process. 216: 109308 (2024) - [j43]Ori Katz, Ronen Talmon, Uri Shaham:
Supervised Domain Adaptation Based on Marginal and Conditional Distributions Alignment. Trans. Mach. Learn. Res. 2024 (2024) - [c39]Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon:
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. AAAI 2024: 20328-20336 - [c38]Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon:
Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets. ICASSP 2024: 6325-6329 - [c37]Joseph S. Picard, Amitay Bar, Ronen Talmon:
Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices. ICASSP 2024: 8521-8525 - [i30]Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon:
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. CoRR abs/2402.13810 (2024) - [i29]Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon, Mao-Pei Tsui:
Landmark Alternating Diffusion. CoRR abs/2404.19649 (2024) - [i28]Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie:
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. CoRR abs/2406.01249 (2024) - [i27]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 abs/2406.06812 (2024) - 2023
- [j42]Ido Cohen
Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery With Manifold Learning. IEEE Trans. Biomed. Eng. 70(4): 1286-1297 (2023) - [j41]Almog Lahav
Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment. IEEE Trans. Signal Process. 71: 1907-1921 (2023) - [c36]Tamir Baruch Yampolsky, Ronen Talmon, Ofir Lindenbaum:
Domain and Modality Adaptation Using Multi-Kernel Matching. EUSIPCO 2023: 1285-1289 - [c35]David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon:
Few-Sample Feature Selection via Feature Manifold Learning. ICML 2023: 6296-6319 - [c34]Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. ICML 2023: 21003-21025 - [i26]Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon:
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. CoRR abs/2305.18962 (2023) - 2022
- [j40]Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel:
Deep Isometric Maps. Image Vis. Comput. 123: 104461 (2022) - [j39]Felix Dietrich
Spectral Discovery of Jointly Smooth Features for Multimodal Data. SIAM J. Math. Data Sci. 4(1): 410-430 (2022) - [c33]Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon:
Discovery of Single Independent Latent Variable. NeurIPS 2022 - [i25]Tal Shnitzer, Hau-Tieng Wu, Ronen Talmon:
Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators. CoRR abs/2201.08530 (2022) - [i24]David Cohen, Tal Shnitzer, Yuval Kluger
ManiFeSt: Manifold-based Feature Selection for Small Data Sets. CoRR abs/2207.08574 (2022) - 2021
- [j38]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): 1-16 (2021) - [j37]Ya-Wei Eileen Lin
Graph of graphs analysis for multiplexed data with application to imaging mass cytometry. PLoS Comput. Biol. 17(3) (2021) - [c32]Ohad Rahamim, Ronen Talmon:
Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator. ICASSP 2021: 5310-5314 - [c31]Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon:
Hyperbolic Procrustes Analysis Using Riemannian Geometry. NeurIPS 2021: 5959-5971 - [c30]Lior Aloni, Omer Bobrowski
Joint Geometric and Topological Analysis of Hierarchical Datasets. ECML/PKDD (3) 2021: 478-493 - [i23]Lior Aloni, Omer Bobrowski, Ronen Talmon:
Joint Geometric and Topological Analysis of Hierarchical Datasets. CoRR abs/2104.01395 (2021) - [i22]Panagiotis Papaioannou, Ronen Talmon, Daniela di Serafino, Constantinos I. Siettos:
Time Series Forecasting Using Manifold Learning. CoRR abs/2110.03625 (2021) - [i21]Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon:
Single Independent Component Recovery and Applications. CoRR abs/2110.05887 (2021) - 2020
- [j36]Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot:
Data-Driven Multi-Microphone Speaker Localization on Manifolds. Found. Trends Signal Process. 14(1-2): 1-161 (2020) - [j35]Bracha Laufer-Goldshtein
Global and Local Simplex Representations for Multichannel Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 914-928 (2020) - [j34]Maja Taseska
Nonlinear Filtering With Variable Bandwidth Exponential Kernels. IEEE Trans. Signal Process. 68: 314-326 (2020) - [j33]Tal Shnitzer
Diffusion Maps Kalman Filter for a Class of Systems With Gradient Flows. IEEE Trans. Signal Process. 68: 2739-2753 (2020) - [c29]Amitay Bar, Ronen Talmon, Ron Meir:
Option Discovery in the Absence of Rewards with Manifold Analysis. ICML 2020: 664-674 - [c28]Pavel Lifshits, Ronen Talmon:
Unsupervised Acoustic Condition Monitoring with Riemannian Geometry. MLSP 2020: 1-6 - [i20]Amitay Bar, Ronen Talmon, Ron Meir:
Option Discovery in the Absence of Rewards with Manifold Analysis. CoRR abs/2003.05878 (2020) - [i19]Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis:
Spectral Discovery of Jointly Smooth Features for Multimodal Data. CoRR abs/2004.04386 (2020) - [i18]Or Yair, Almog Lahav, Ronen Talmon:
Symmetric Positive Semi-definite Riemmanian Geometry with Application to Domain Adaptation. CoRR abs/2007.14272 (2020) - [i17]Ofir Lindenbaum, Amir Sagiv, Gal Mishne, Ronen Talmon:
Kernel-based parameter estimation of dynamical systems with unknown observation functions. CoRR abs/2009.04142 (2020) - [i16]Ori Katz, Roy R. Lederman, Ronen Talmon:
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing. CoRR abs/2009.08062 (2020)
2010 – 2019
- 2019
- [j32]Ori Katz, Ronen Talmon, Yu-Lun Lo, Hau-Tieng Wu:
Alternating diffusion maps for multimodal data fusion. Inf. Fusion 45: 346-360 (2019) - [j31]Ariel Schwartz, Ronen Talmon:
Intrinsic Isometric Manifold Learning with Application to Localization. SIAM J. Imaging Sci. 12(3): 1347-1391 (2019) - [j30]Tal Shnitzer
Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators. SIAM J. Math. Data Sci. 1(3): 588-616 (2019) - [j29]Or Yair
Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation. IEEE Trans. Signal Process. 67(7): 1797-1811 (2019) - [c27]Lukas Forster, Alexander Schmidt, Walter Kellermann, Tal Shnitzer
Diffusion Maps Particle Filter. EUSIPCO 2019: 1-5 - [c26]Gal Maman, Or Yair, Danny Eytan, Ronen Talmon:
Domain Adaptation Using Riemannian Geometry of Spd Matrices. ICASSP 2019: 4464-4468 - [c25]Andreas Brendel
Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization. ICASSP 2019: 7898-7902 - [c24]Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel:
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. WACV 2019: 819-828 - [i15]Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis:
Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. CoRR abs/1906.00616 (2019) - 2018
- [j28]Felix P. Kemeth, Sindre W. Haugland
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access 6: 77402-77413 (2018) - [j27]Vardan Papyan, Ronen Talmon:
Multimodal latent variable analysis. Signal Process. 142: 178-187 (2018) - [j26]Bracha Laufer-Goldshtein, Ronen Talmon
A Hybrid Approach for Speaker Tracking Based on TDOA and Data-Driven Models. IEEE ACM Trans. Audio Speech Lang. Process. 26(4): 725-735 (2018) - [j25]Gal Mishne
Data-Driven Tree Transforms and Metrics. IEEE Trans. Signal Inf. Process. over Networks 4(3): 451-466 (2018) - [j24]David Dov
Sequential Audio-Visual Correspondence With Alternating Diffusion Kernels. IEEE Trans. Signal Process. 66(12): 3100-3111 (2018) - [j23]Bracha Laufer-Goldshtein
Source Counting and Separation Based on Simplex Analysis. IEEE Trans. Signal Process. 66(24): 6458-6473 (2018) - [c23]Aviad Levis
Statistical Tomography of Microscopic Life. CVPR 2018: 6411-6420 - [c22]Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Diarization and Separation Based on a Data-Driven Simplex. EUSIPCO 2018: 842-846 - [c21]Bracha Laufer-Goldshtein, Ronen Talmon, Israel Cohen, Sharon Gannot
Multi-View Source Localization Based on Power Ratios. ICASSP 2018: 71-75 - [i14]Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot:
Data-Driven Source Separation Based on Simplex Analysis. CoRR abs/1802.09221 (2018) - [i13]Ariel Schwartz, Ronen Talmon:
Intrinsic Isometric Manifold Learning with Application to Localization. CoRR abs/1806.00556 (2018) - 2017
- [j22]Jeremias Sulam
Dynamical system classification with diffusion embedding for ECG-based person identification. Signal Process. 130: 403-411 (2017) - [j21]David Dov, Ronen Talmon, Israel Cohen:
Multimodal Kernel Method for Activity Detection of Sound Sources. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1322-1334 (2017) - [j20]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): 1477-1491 (2017) - [j19]Tal Shnitzer
Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis. IEEE Trans. Signal Process. 65(4): 904-918 (2017) - [j18]Or Yair, Ronen Talmon:
Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery. IEEE Trans. Signal Process. 65(5): 1101-1115 (2017) - [c20]Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Speaker Tracking on Multiple-Manifolds with Distributed Microphones. LVA/ICA 2017: 59-67 - [c19]Tal Shnitzer
Alternating diffusion maps for dementia severity assessment. ICASSP 2017: 831-835 - [i12]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 abs/1701.03619 (2017) - [i11]Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger:
Data-Driven Tree Transforms and Metrics. CoRR abs/1708.05768 (2017) - [i10]Gautam Pai, Ronen Talmon, Ron Kimmel:
Parametric Manifold Learning Via Sparse Multidimensional Scaling. CoRR abs/1711.06011 (2017) - [i9]Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine:
Diffusion Maps Kalman Filter. CoRR abs/1711.09598 (2017) - 2016
- [j17]Gal Mishne
Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery. IEEE J. Sel. Top. Signal Process. 10(7): 1238-1253 (2016) - [j16]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): 1327-1351 (2016) - [j15]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): 1393-1407 (2016) - [j14]David Dov
Kernel Method for Voice Activity Detection in the Presence of Transients. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2313-2326 (2016) - [j13]David Dov, Ronen Talmon, Israel Cohen:
Kernel-Based Sensor Fusion With Application to Audio-Visual Voice Activity Detection. IEEE Trans. Signal Process. 64(24): 6406-6416 (2016) - [c18]Ron Amit, Gal Mishne
Improving resolution in supervised patch-based target detection. ICASSP 2016: 1994-1998 - [c17]Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Manifold-based Bayesian inference for semi-supervised source localization. ICASSP 2016: 6335-6339 - [c16]Or Yair, Ronen Talmon:
Multimodal metric learning with local CCA. SSP 2016: 1-5 - [i8]Ronen Talmon, Hau-Tieng Wu:
Latent common manifold learning with alternating diffusion: analysis and applications. CoRR abs/1602.00078 (2016) - [i7]David Dov, Ronen Talmon, Israel Cohen:
Kernel-based Sensor Fusion with Application to Audio-Visual Voice Activity Detection. CoRR abs/1604.02946 (2016) - [i6]Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine:
Manifold Learning with Contracting Observers for Data-driven Time-series Analysis. CoRR abs/1604.04492 (2016) - [i5]Or Yair, Ronen Talmon:
Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery. CoRR abs/1606.04268 (2016) - [i4]Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot:
Semi-Supervised Source Localization on Multiple-Manifolds with Distributed Microphones. CoRR abs/1610.04770 (2016) - [i3]Vardan Papyan, Ronen Talmon:
Multimodal Latent Variable Analysis. CoRR abs/1611.08472 (2016) - [i2]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 abs/1612.03195 (2016) - 2015
- [j12]Wenzhao Lian, Ronen Talmon, Hitten Zaveri, Lawrence Carin
Multivariate time-series analysis and diffusion maps. Signal Process. 116: 13-28 (2015) - [j11]David Dov, Ronen Talmon, Israel Cohen:
Audio-Visual Voice Activity Detection Using Diffusion Maps. IEEE ACM Trans. Audio Speech Lang. Process. 23(4): 732-745 (2015) - [j10]Hau-Tieng Wu
Assess Sleep Stage by Modern Signal Processing Techniques. IEEE Trans. Biomed. Eng. 62(4): 1159-1168 (2015) - [j9]Gal Mishne
Graph-Based Supervised Automatic Target Detection. IEEE Trans. Geosci. Remote. Sens. 53(5): 2738-2754 (2015) - [j8]Ronen Talmon, Stéphane Mallat, Hitten Zaveri, Ronald R. Coifman:
Manifold Learning for Latent Variable Inference in Dynamical Systems. IEEE Trans. Signal Process. 63(15): 3843-3856 (2015) - [c15]Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
A Study on Manifolds of Acoustic Responses. LVA/ICA 2015: 203-210 - [c14]Roy R. Lederman, Ronen Talmon, Hau-Tieng Wu
Alternating diffusion for common manifold learning with application to sleep stage assessment. ICASSP 2015: 5758-5762 - [i1]Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot:
Semi-Supervised Sound Source Localization Based on Manifold Regularization. CoRR abs/1508.03148 (2015) - 2014
- [c13]Václav Chudácek, Ronen Talmon, Joakim Andén, Stéphane Mallat, Ronald R. Coifman, Patrice Abry
Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. EMBC 2014: 6373-6376 - 2013
- [j7]Ronen Talmon, Israel Cohen, Sharon Gannot
Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs. IEEE Signal Process. Mag. 30(4): 75-86 (2013) - [j6]Ronen Talmon, Israel Cohen, Sharon Gannot
Single-Channel Transient Interference Suppression With Diffusion Maps. IEEE Trans. Speech Audio Process. 21(1): 130-142 (2013) - [c12]Ronen Talmon, Israel Cohen, Sharon Gannot, Ronald R. Coifman:
Graph-based bayesian approach for transient interference suppression. EUSIPCO 2013: 1-5 - [c11]Ronen Talmon, Sharon Gannot:
Relative transfer function identification on manifolds for supervised GSC beamformers. EUSIPCO 2013: 1-5 - [c10]Ronen Talmon, Yoel Shkolnisky, Ronald R. Coifman:
Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging. GSI 2013: 441-448 - [c9]Ronen Talmon, Emanuël A. P. Habets
Blind reverberation time estimation by intrinsic modeling of reverberant speech. ICASSP 2013: 156-160 - [c8]Bracha Laufer, Ronen Talmon, Sharon Gannot
Relative transfer function modeling for supervised source localization. WASPAA 2013: 1-4 - 2012
- [j5]Ronen Talmon, Israel Cohen, Sharon Gannot
Supervised Graph-Based Processing for Sequential Transient Interference Suppression. IEEE Trans. Speech Audio Process. 20(9): 2528-2538 (2012) - [j4]Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Israel Cohen, Sharon Gannot
Parametrization of Linear Systems Using Diffusion Kernels. IEEE Trans. Signal Process. 60(3): 1159-1173 (2012) - [c7]Tomer Koren, Ronen Talmon, Israel Cohen:
Supervised system identification based on local PCA models. ICASSP 2012: 541-544 - [c6]Ariel Hirszhorn, David Dov, Ronen Talmon, Israel Cohen:
Transient Interference Suppression in Speech Signals Based on the OM-LSA Algorithm. IWAENC 2012 - 2011
- [j3]Ronen Talmon, Israel Cohen, Sharon Gannot
Transient Noise Reduction Using Nonlocal Diffusion Filters. IEEE Trans. Speech Audio Process. 19(6): 1584-1599 (2011) - [c5]Yan Michalevsky, Ronen Talmon, Israel Cohen:
Speaker identification using diffusion maps. EUSIPCO 2011: 1299-1302 - [c4]Ronen Talmon, Israel Cohen, Sharon Gannot
Clustering and suppression of transient noise in speech signals using diffusion maps. ICASSP 2011: 5084-5087 - [c3]Ronen Talmon, Israel Cohen, Sharon Gannot
Supervised source localization using diffusion kernels. WASPAA 2011: 245-248 - 2010
- [c2]Ronen Talmon, Israel Cohen, Sharon Gannot
Speech enhancement in transient noise environment using diffusion filtering. ICASSP 2010: 4782-4785
2000 – 2009
- 2009
- [j2]Ronen Talmon, Israel Cohen, Sharon Gannot
Relative Transfer Function Identification Using Convolutive Transfer Function Approximation. IEEE Trans. Speech Audio Process. 17(4): 546-555 (2009) - [j1]Ronen Talmon, Israel Cohen, Sharon Gannot
Convolutive Transfer Function Generalized Sidelobe Canceler. IEEE Trans. Speech Audio Process. 17(7): 1420-1434 (2009) - [c1]Ronen Talmon, Israel Cohen, Sharon Gannot
Multichannel speech enhancement using convolutive transfer function approximation in reverberant environments. ICASSP 2009: 3885-3888
Coauthor Index
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