Skip links to main content
Ronen Talmon Site
Logo of EE Department
Logo of Technion
Home PageHome cintactContact Me sponsor shipSponsorship

PublicationsJournals

by year:
by topic

2026

B. Weiss, H. T. Wu, and R. Talmon, Extracting Common Components from Partially Observed Views Using Diffusion Geometry, TMLR, 2026.
Y. I. Segman, A. Amar, and R. Talmon, Structure-Aware Matrix Pencil for Estimating the Number of Damped Complex Exponentials, accepted for publication in IEEE Transactions on Signal Processing, 2026.

2025

A. Bar, J. Picard, I. Cohen, and R. Talmon, Domain Adaptation for DoA Estimation in Multipath Channels with Interferences, IEEE Trans. Signal Process., Vol. 73, pp. 3734 - 3747, 2025.
A. Ghanayim, H. Benisty, A. Cohen-Ramon, S. Schwartz, R. Talmon, and J. Schiller, VTA projections to M1 are essential for reorganization of layer 2-3 network dynamics underlying motor learning, Nature Communications 16.1: 200., 2025.
E. Bronstein, E. Faran, R. Talmon, and D. Shilo, Data-driven analysis of acoustic emission signals for the distinction of deformation mechanisms, Physical Review Materials, 9(7), 073804, 2025.
G. Maman and R. Talmon, Diffusion Optimal Transport for Domain Adaptation, Transactions on Machine Learning Research, 2025.
O. Katz, R. R. Lederman, and R. Talmon, Multimodal manifold learning using kernel interpolation along geodesic paths, Information Fusion, 114: 102637, 2025.
S. Desai, S. Salahuddin, R. Yusuf, K. Ranjan, J. Gu, Y.-W. Lin, R. Talmon, Y. Kluger, H. Zhao, K. Schalper, B. Emu, Spatial Analysis Reveals Impaired Immune Cell Function within the Tumor Microenvironment of HIV-associated Non-small Cell Lung Cancer, The Journal of Clinical Investigation, 135(14), 2025.
S. Y Yeh, H. T. Wu, R. Talmon, and M. P. Tsui, M. P., Landmark Alternating Diffusion, SIAM Journal on Mathematics of Data Science (SIMODS), 7(2), pp. 621-642, 2025.

2024

D. W. Sroczynski, F. Dietrich, E. D. Koronaki, R. Talmon, R. R. Coifman, E. Bollt, and I. G. Kevrekidis, On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them, PNAS nexus, 3(12), pp. 494, 2024.
E. Bronstein, E. Faran, R. Talmon, and D. Shilo, Uncovering Avalanche Sources, Nature Communications 15.1: 7474., 2024.
J. McErlean, J. Malik, Y-T. Lin, R. Talmon, H-T. Wu, Unsupervised Ensembling of Multiple Software Sensors with Phase Synchronization: A Robust Approach For Electrocardiogram-derived Respiration, Physiological Measurement, 45.3: 035008, 2024.
N. Habouba, R. Talmon, D. Kraus, R. Farah, A. Apter, T. Steinberg, R. Radhakrishnan, D. Barazany, and T. Horowitz-Kraus, Parent-child couples display shared neural fingerprints while listening to stories, Scientific Reports, 14, no. 1, 2024.
O. Katz, R. Talmon, and Uri Shaham, Supervised Domain Adaptation Based on Marginal and Conditional Distributions Alignment, Transactions on Machine Learning Research, 2024.
A. Bar and R. Talmon, On Interference-Rejection using Riemannian Geometry for Direction of Arrival Estimation, IEEE Transactions on Signal Processing, Vol. 72, pp. 260-274, 2024
I. Zach, T. G. Dvorkind, and R. Talmon, Graph Signal Interpolation and Extrapolation Using Reproducing Kernel Hilbert Space over Manifold of Gaussian Mixture, Signal Processing, Vol. 216, 109308, 2024
T. Shnitzer, H.-T. Wu, and R. Talmon, Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators, Applied and Computational Harmonic Analysis, Vol. 68, 101583, 2024

2023

A. Lahav and R. Talmon, Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment, IEEE Transactions on Signal Processing, vol. 71, pp. 1907-1921, 2023
E. Bronstein, J. Zimmerman, E. Rabkin, E. Faran, R. Talmon, and D. Shilo, Enhancing the detection capabilities of nano-avalanches via data-driven classification of acoustic emission signals, Physical Review E, 108(4), 045001, 2023
I. Cohen, D. Valsky, and R. Talmon, Unsupervised Detection of Sub-Territories of the Subthalamic Nucleus During DBS Surgery with Manifold Learning, IEEE Trans. Biomedical Engineering, 70(4), 1286 - 1297, 2023

2022

E. Bronstein, A. Wiegner, D. Shilo, and R. Talmon, The spatiotemporal coupling in delay-coordinates dynamic mode decomposition, Chaos: An Interdisciplinary Journal of Nonlinear Science}, Vol. 32, 123127, 2022
G. Pai, A. Bronstein, R. Talmon, and R. Kimmel, Deep Isometric Maps, Image and Vision Computing, 123, 104461, 2022.
M. Gavish, P. C. Su, R. Talmon, and H. T. Wu, Optimal recovery of precision matrix for Mahalanobis distance from high-dimensional noisy observations in manifold learning, Information and Inference: A Journal of the IMA, 11(4), 1173-1202, 2022
P. Papaioannou, R. Talmon, I. Kevrekidis, and C. Siettos, Time-series forecasting using manifold learning, radial basis function interpolation, and geometric harmonics, Chaos: An Interdisciplinary Journal of Nonlinear Science}, Vol. 32, 083113, 2022
O. Yair, A. Lahav, and R. Talmon, Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation, submitted. arxiv
F. Dietrich, O. Yair, R. Mulayoff, R. Talmon, and I. G. Kevrekidis, Spectral Discovery of Jointly Smooth Features for Multimodal Data, SIAM Journal on Mathematics of Data Science, 4(1), 410-430, 2022
O. Yair, F. Dietrich, I. G. Kevrekidis, and R. Talmon, Domain Adaptation with Optimal Transport on the Manifold of SPD matrices, submitted. arxiv

2021

O. Lindenbaum, A. Sagiv, G. Mishne, and R. Talmon, Kernel-based parameter estimation of dynamical systems with unknown observation functions, Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 31, No. 4, 043118, 2021
Y.-W. E. Lin, T. Shnitzer, R. Talmon, F. Villarroel-Espindola, S. Desai, K. Schalper, and Y. Kluger, Graph of graphs analysis for multiplexed data with application to imaging mass cytometry, PLoS computational biology, Vol. 17, No. 3, e1008741, 2021
B. Laufer-Goldstein, R. Talmon, S. Gannot, Audio source separation by activity probability detection with maximum correlation and simplex geometry, EURASIP Journal on Audio, Speech, and Music Processing, No. 1, pp. 1-16, 2021
E. Bronstein, L. Z. Toth, L. Daroczi, D. L. Beke, R. Talmon, and D. Shilo, Tracking twin boundary jerky motion at nanometer and microsecond scales," Advanced Functional Materials, Advanced Functional Materials, 2106573, 2021

2020

E. Lustig, O. Yair, R. Talmon, M. Segev, Identifying Topological Phase Transitions in Experiments Using Manifold Learning, Physical Review Letters, Vol. 125, No. 12, 127401, 2020
S. Levy, M. Lavzin, H. Benisty, A. Ghanayim, U. Dubin, S. Achvat, Z. Brosh, F. Aeed, B. D. Mensh, Y. Schiller., R. Meir, O. Barak, R. Talmon, A. W. Hantman, and J. Schiller, Cell-type specific outcome representation in primary motor cortex, Neuron, Vol. 107, No. 5, pp. 954-971, 2020
F. Aeed, T. Shnitzer, R. Talmon, Y. Schiller, Layer and cell specific recruitment dynamics during epileptic seizures in-vivo in Annals of Neurology, Annals of Neurology, Vol. 87, No. 1, pp. 97-115, 2020
B. Laufer-Goldstein, R. Talmon, S. Gannot, Global and Local Simplex Representations for Multichannel Source Separation, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 914 - 928, 2020
T. Shnitzer, R. Talmon and J. J. Slotine, Diffusion Maps Kalman Filter for a Class of Systems With Gradient Flows, IEEE Transactions on Signal Processing, Vol. 68, pp. 2739-2753.

2019

M. Taseska, T .van Waterschoot, E. A. P. Habets, and R. Talmon, Nonlinear Filtering with Variable-Bandwidth Exponential Kernels, IEEE Transactions on Signal Processing, Vol. 65, pp. 314-326, 2019
T. Shnitzer, M. Ben-Chen, L. Guibas, R. Talmon and H.-T. Wu, Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators, SIAM Journal on Mathematics of Data Science, Vol. 1, No. 3, pp. 588-616, 2019
O. Katz, R. Talmon, Y.-L. Lo and H.-T. Wu, Alternating diffusion maps for multimodal data fusion, Information Fusion, Vol. 45, pp. 346-360, 2019 software
O. Yair, M. Ben-chen, and R. Talmon, Parallel transport on the cone manifold of SPD matrices for domain adaptation, IEEE Trans. Signal Process., Vol. 67, no. 7, pp. 1797-1811, 2019
A. Schwartz, and R. Talmon, Intrinsic isometric manifold learning with application to localization, SIAM Journal on Imaging Science, Vol. 12, No. 3, pp. 1347-1391, 2019

2018

B. Laufer-Goldstein, R. Talmon, S. Gannot, Source Counting and Separation Based on Simplex Analysis, IEEE Transactions on Signal Processing, Volume: 66 , Issue: 24 , 6458 - 6473, 2018
A. Lahav, R. Talmon, Y. Kluger, Mahalanonbis distance informed by clustering, Information and Inference: A Journal of the IMA, iay011, https://doi.org/10.1093/imaiai/iay011, 2018
D. W. Sroczynski, O. Yair, R. Talmon, and I. G. Kevrekidis, Data-driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical Systems, Israel Journal of Chemistry, Vol. 58, No. 6-7, Special Issue: Nonlinear Dynamics in Chemical Reaction Engineering, pp. 787-794, 2018
D. Dov, R. Talmon and I. Cohen, Sequential audio-visual correspondence with alternating diffusion kernels, IEEE Transactions on Signal Processing, Vol. 66, No. 12, pp. 3100-3111, 2018
C. J. Dsilva, R. Talmon, R. R. Coifman, and I. G. Kevrekidis, Parsimonious Representation of Nonlinear Dynamical Systems Through Manifold Learning: A Chemotaxis Case Study, Applied and Computational Harmonic Analysis (ACHA), Vol. 44, No.3, pp. 759-773, 2018 software
B. Laufer-Goldstein, R. Talmon, S. Gannot, A Hybrid Approach for Speaker Tracking based on TDOA and Data-Driven Models, IEEE/ACM Trans. Audio, Speech, Lang. Proces., Vol. 26, No. 4, pp. 725-735, 2018
G. Mishne, R. Talmon, I. Cohen, R. R. Coifman, and Y. Kluger, Data-Driven Tree Transforms and Metrics, IEEE Transactions on Signal and Information Processing over Networks, Vol. 4, No. 3, 2018
V. Papyan, R. Talmon, Multimodal Latent Variable Analysis, Signal Processing, Vol. 142, pp. 178–187, 2018
F. P. Kemeth, S. W. Haugland, F. Dietrich, T. Bertalan, Q. Li, E. M. Bollt, R. Talmon, K. Krischer, and I. G. Kevrekidis, An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning, IEEE Access, Vol. 6, pp. 77402-77413, 2018
R. R. Lederman, and R. Talmon, Learning the Geometry of Common Latent Variables Using Alternating Diffusion, Applied and Computational Harmonic Analysis (ACHA), Vol. 44, No. 3, pp. 509-536, 2018

2017

R. Talmon and H.-T. Wu, Latent common manifold learning with alternating diffusion: analysis and applications, accepted for publication in Applied and Computational Harmonic Analysis, 2017
O. Yair, R. Talmon, R. R. Coifman, I. G. Kevrekidis, Reconstruction of normal forms by learning informed observation geometries from data, Proceedings of the National Academy of Sciences (PNAS), 201620045, 2017
B. Laufer-Goldstein, R. Talmon, S. Gannot, Semi-supervised source localization on multiple-manifolds with distributed microphones, IEEE/ACM Trans. Audio, Speech, Lang. Proces., Vol. 25, No. 7, pp. 1477-1491, Jul. 2017
D. Dov, R. Talmon and I. Cohen, Multimodal Kernel Method for Activity Detection of Sound Sources, IEEE/ACM Trans. Audio, Speech, Lang. Proces., Vol. 25, No. 6, pp. 1322 – 1334, Jun. 2017
A. Shemesh, R. Talmon, O. Karp, I. Amir, M. Bar, and Y. J. Grobman, Affective response to architecture – investigating human reaction to spaces with different geometry, Architectural Science Review, Vol. 60, No. 2, pp. 116-125, 2017
O. Yair, R. Talmon, Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery, IEEE Transactions on Signal Processing, Vol. 65, No. 5, pp. 1101-1115, Mar. 2017
T. Shnitzer, R. Talmon and J. J. Slotine, Manifold learning with contracting observers for data-driven time-series analysis, IEEE Transactions on Signal Processing, Vol. 65, No. 4, pp. 904-918, Feb. 2017
J. Sulam, Y. Romano, R. Talmon, Dynamical system classification with diffusion embedding for ECG-based person identification, Signal Processing, Vol. 130, pp. 403-411, Jan. 2017

2016

D. Dov, R. Talmon and I. Cohen, Kernel-based sensor fusion with application to audio-visual voice activity detection, IEEE Transactions on Signal Processing, Vol. 64, No. 24, pp. 6406-6416, Dec. 2016
D. Dov, R. Talmon, I. Cohen, Kernel method for voice activity detection in the presence of transients, IEEE Trans. Audio Speech Lang. Process., Vol. 24, No. 12,pp. 2313-2326, Dec. 2016
G. Mishne, R. Talmon, R. Meir, J. Schiller, U. Dubin, R. R. Coifman, Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery, IEEE Journal of Selected Topics in Signal Processing, Vol. 10, No. 7, pp. 1238-1253, Oct. 2016
C. J. Dsilva, R. Talmon, C. W. Gear, R. R. Coifman, and I. G. Kevrekidis, Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems, SIAM Journal on Applied Dynamical Systems, Vol. 15, No. 3, pp. 1327-1351, 2016
B. Laufer-Goldstein, R. Talmon, S. Gannot, Semi-supervised sound source localization based on manifold regularization, IEEE Trans. Audio, Speech and Language Processing, Vol. 24, No. 8, pp. 1393-1407, Aug. 2016

2015

W. Lian, R. Talmon, H. Zaveri, L. Carin, and R. R. Coifman, Multivariate Time Series Analysis and Diffusion Maps, Signal Processing, Vol. 116, pp. 13-28, Nov. 2015
R. Talmon, S. Mallat, H. Zaveri, and R. R. Coifman, Manifold Learning for Latent Variable Inference in Dynamical Systems, IEEE Trans. Signal Process., Vol. 63, No. 15, pp. 3843-3856, Aug. 2015
R. Talmon and R. R. Coifman, Intrinsic Modeling of Stochastic Dynamical Systems Using Empirical Geometry, Applied and Computational Harmonic Analysis (ACHA), Vol. 39, No. 1, pp. 138-160, Jul. 2015
G. Mishne, R. Talmon, and I. Cohen, Graph-Based Supervised Automatic Target Detection, IEEE Trans. Geoscience and Remote Sensing, Vol. 53, Issue. 5, pp. 2738-2754, May. 2015
D. Dov, R. Talmon, and I. Cohen, Audio-Visual Voice Activity Detection Using Diffusion Maps, IEEE Trans. Audio, Speech and Language Processing, Vol. 23, No. 4, pp. 732-745, Apr. 2015 software
H.-T. Wu, R. Talmon, Y.-L. Lo, Assess Sleep Stage by Modern Signal Processing Techniques, IEEE Transactions on Biomedical Engineering, Vol. 62, No. 4, pp. 1159-1168, Apr. 2015

2013

C. J. Dsilva, R. Talmon, N. Rabin, R. R. Coifman, and I. G. Kevrekidis, Nonlinear Intrinsic Variables and State Reconstruction in Multiscale Simulations, The Journal of Chemical Physics, Vol. 139, Issue 18, pp. 184109, Oct. 2013
R. Talmon and R. R. Coifman, Empirical Intrinsic Geometry for Nonlinear Modeling and Time Series Filtering, Proceedings of the National Academy of Sciences (PNAS), Vol. 110, Issue 31, pp. 12535-12540, Jul. 2013
D. Duncan, R. Talmon, H. P. Zaveri, and R. R. Coifman, Identifying Preseizure State in Intracranial EEG Data Using Diffusion Kernels, Special Issue of Mathematical Biosciences and Engineering (MBE), Vol. 10, Issue 3, pp. 579-590, Jun. 2013
R. Talmon, I. Cohen and S. Gannot, Single-Channel Transient Interference Suppression with Diffusion Maps, IEEE Trans. Audio, Speech and Language Processing, Vol. 21, Issue 1, pp. 132-144, Jan. 2013

2012

R. Talmon, I. Cohen, S. Gannot and R. R. Coifman, Supervised Graph-based Processing for Sequential Transient Interference Suppression, IEEE Trans. Audio, Speech and Language Processing, Vol. 20, Issue 9, pp. 2528-2538, Nov. 2012
R. Talmon, D. Kushnir, R. R. Coifman, I. Cohen and S. Gannot, Parametrization of Linear Systems Using Diffusion Kernels, IEEE Transactions on Signal Processing, Vol. 60, No. 3, pp. 1159-1173, Mar. 2012

2011

R. Talmon, I. Cohen and S. Gannot, Transient Noise Reduction Using Nonlocal Diffusion Filters, IEEE Trans. Audio, Speech and Language Processing, Vol. 19, Issue 6, pp. 1584-1599, Aug. 2011

2009

R. Talmon, I. Cohen and S. Gannot, Convolutive Transfer Function Generalized Sidelobe Canceler, IEEE Trans. Audio, Speech and Language Processing, Vol. 17, Issue 7, pp. 1420-1434, Sep. 2009
R. Talmon, I. Cohen and S. Gannot, Relative Transfer Function Identification Using Convolutive Transfer Function Approximation, IEEE Trans. Audio, Speech and Language Processing, Vol. 17, Issue 4, pp. 546-555, May 2009
Publications: JournalsConferencesBooksBook ChaptersReportsMagazinesAll Publications