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PublicationsConferences

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Array Signal Processing

J. Picard, A. Bar, and R. Talmon, Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices, accepted for publication in ICASSP, 2024

Nonlinear Data and Signal Analysis with Diffusion Operators (DIFFOP)

D. Cohen, T. Shnitzer, Y. Kluger, and R. Talmon, Few-Sample Feature Selection via Feature Manifold Learning, ICML, 2023
T. B. Yampolsky, O. Lindenbaum, and R. Talmon, Domain and Modality Adaptation Using Multi-Kernel Matching, EUSIPCO, 2023
Y.-W. Lin, R. R. Coifman, G. Mishne, and R. Talmon, Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning, ICML, 2023
U. Shaham, J. Svirsky, O. Katz, and R. Talmon, Discovery of Single Independent Latent Variable, NeurIPS, 2022
Y.-W. Lin, Y. Kluger, and R. Talmon, Hyperbolic Procrustes Analysis Using Riemannian Geometry, Proc. NeurIPS 2021
L. Aloni, O. Bobrowski, and R. Talmon, Joint geometric and topological analysis of Hierarchical datasets, Proc. ECML-PKDD 2021
O. Rahamim and R. Talmon, Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’21), May 2021

Riemannian Geometry

D. Cohen, T. Shnitzer, Y. Kluger, and R. Talmon, Few-Sample Feature Selection via Feature Manifold Learning, ICML, 2023
Y.-W. Lin, R. R. Coifman, G. Mishne, and R. Talmon, Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning, ICML, 2023
A. Bar, R. Mulayoff, T. Michaeli, and R. Talmon, The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank, accepted for publication in AAAI, 2024
J. Picard, A. Bar, and R. Talmon, Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices, accepted for publication in ICASSP, 2024
Y.-W. Lin, Y. Kluger, and R. Talmon, Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets, accepted for publication in ICASSP, 2024
Y.-W. Lin, Y. Kluger, and R. Talmon, Hyperbolic Procrustes Analysis Using Riemannian Geometry, Proc. NeurIPS 2021
O. Rahamim and R. Talmon, Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’21), May 2021
P. Lifshits and R. Talmon, Unsupervised acoustic condition monitoring with Riemannian geometry, Proc. IEEE Int. Workshop Machine Learning for Signal Processing (MLSP), 2020

Audio and Acoustic Signal Processing

P. Lifshits and R. Talmon, Unsupervised acoustic condition monitoring with Riemannian geometry, Proc. IEEE Int. Workshop Machine Learning for Signal Processing (MLSP), 2020
A. Brendel, B. Laufer-Goldshtein, S. Gannot, R. Talmon, and W. Kellermann, Localization of unknown number of speakers in adverse conditions using reliability information and diarization, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’19), Brighton, UK, May 2019
B. Laufer-Goldshtein, R. Talmon and S. Gannot, Diarization and Separation Based on a Data-Driven Simplex, Proc. IEEE 26th European Signal Processing Conference (EUSIPCO), pp. 842-846, 2018
B. Laufer-Goldshtein, R. Talmon, I. Cohen and S. Gannot, Multi-view source localization based on power ratios, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’18), Calgary, Canada, Apr. 2018
B. Laufer-Goldshtein, R. Talmon and S. Gannot, Speaker tracking on multiple-manifolds with distributed microphones, LVA/ICA, Feb. 2017
D. Dov, R. Talmon and I. Cohen, Kernel method for speech source activity detection in multi-modal signals, Proc. IEEE ICSEE 2016 – International Conference on the Science of Electrical Engineering, Eilat, Israel, Nov. 2016
B. Laufer-Goldshtein, R. Talmon and S. Gannot, A real-life experimental study on semi-supervised source localization based on manifold learning, Proc. IEEE ICSEE 2016 – International Conference on the Science of Electrical Engineering, Eilat, Israel, Nov. 2016
B. Laufer, R. Talmon, and S. Gannot, Manifold-based Bayesian inference for semi-supervised source localisation, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’16), Shanghai, China, Mar. 2016 (invited paper)
B. Laufer, R. Talmon, and S. Gannot, A Study on Manifolds of Acoustic Responses, Proc. of the 12th International Conference on Latent Variable Analysis and Signal Separation, Czech Republic, Aug. 2015
B. Laufer, R. Talmon, S. Gannot, Relative Transfer Function Modeling for Supervised Source Localisation, (Runner up - best student paper award), Proc. IEEE Workshop on Application of Signal Processing to Audio and Acoustics, WASPAA-2013, New Paltz, NY, Oct. 2013
R. Talmon and S. Gannot, Relative Transfer Function Identification on Manifold for Supervised GSC Beamformers, Proc. 21th European Signal Processing Conference, EUSIPCO-2013 (invited paper), Marrakech, Morocco, Sept. 9 – 13, 2013
R. Talmon, I. Cohen, S. Gannot and R. R. Coifman, Graph-based Bayesian Approach for Transient Interference Suppression, Proc. 12th European Signal Processing Conference, EUSIPCO-2013 (invited paper), Marrakech, Morocco, Sept. 9 – 13, 2013
R. Talmon and E.A.P. Habets, Blind Reverberation Time Estimation by Intrinsic Modeling of Reverberant Speech, Proc. 38th IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2013, Vancouver, Canada, May 26 – 31, 2013
A. Hirszhorn, D. Dov, R. Talmon, and I. Cohen, Transient Interference Suppression in Speech Signals Based on the OM-LSA Algorithm, Proc. Internat. Workshop Acoust. Signal Enhancement, IWAENC-2012, Aachen, Germany, September 4 – 6, 2012 software
T. Koren, R. Talmon and I. Cohen, Supervised System Identification Based on Local PCA Models, Proc. 37th IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2012, Kyoto, Japan, March 25 – 30, 2012
Y. Michalevsky, R. Talmon and I. Cohen, Speaker Identification Using Diffusion Maps, Proc. 19th European Signal Processing Conference, EUSIPCO-2011, Barcelona, Spain, August 29 – September 2, 2011
R. Talmon, I. Cohen and S. Gannot, Clustering and Suppression of Transient Noise in Speech Signals Using Diffusion Maps, Proc. 36th IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2011, Prague, Czech Republic, May 22 – 27, 2011
R. Talmon, I. Cohen and S. Gannot, Speech Enhancement in Transient Noise Environment Using Diffusion Filtering, Proc. 35th IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2010, Dallas, Texas, March 14 -19, 2010
R. Talmon, I. Cohen and S. Gannot, Multichannel Speech Enhancement Using Convolutive Transfer Function Approximation in Reverberant Environments, Proc. 34th IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2009, Taipei, Taiwan, April 19 –24, 2009, pp. 3885-3888
R. Talmon, I. Cohen and S. Gannot, Identification of the Relative Transfer Function Between Microphones in Reverberant Environments, Proc. 25th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI-2008, Eilat, Israel, 3-5 December 2008, pp. 208-212
R. Talmon, I. Cohen and S. Gannot, Supervised Source Localization Using Diffusion Kernels, Proc. IEEE Workshop on Application of Signal Processing to Audio and Acoustics, WASPAA-2011, New Paltz, NY, October 16 – 19, 2011

Intrinsic Representations

U. Shaham, J. Svirsky, O. Katz, and R. Talmon, Discovery of Single Independent Latent Variable, NeurIPS, 2022
A. Bar, R. Talmon, and R. Meir, Option Discovery in the Absence of Rewards with Manifold Analysis, Proc. of the 37th International Conference on Machine Learning, Online, PMLR 119, 2020.
G. Pai, R. Talmon, A. Bronstein, and R. Kimmel, DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling, Proc. IEEE WACV 2019
R. Amit, G. Mishne, R. Talmon, Improving resolution in supervised patch-based target detection, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’16), Shanghai, China, Mar. 2016
V. Chudacek, R. Talmon, J. Anden, S. Mallat, R. R. Coifman, P. Abry, and M. Doret, Low Dimensional Manifold Embedding for Scattering Coefficients of Intrapartum Fetal Heart Rate Variability, Proc. 36th Annual Internat. Conf. of the IEEE Engineeing in Medicine and Biology Society, EMBC-2014, Chicago, IL, Aug. 2014
B. Laufer, R. Talmon, S. Gannot, Relative Transfer Function Modeling for Supervised Source Localisation, (Runner up - best student paper award), Proc. IEEE Workshop on Application of Signal Processing to Audio and Acoustics, WASPAA-2013, New Paltz, NY, Oct. 2013
R. Talmon, Y. Shkolinsky and R. R. Coifman, Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging, Proc. SEE Internat. Conf. Geometric Science of Information, GSI-2013 (invited paper), Paris, France, Aug. 28 – 30, 2013
R. Talmon and E.A.P. Habets, Blind Reverberation Time Estimation by Intrinsic Modeling of Reverberant Speech, Proc. 38th IEEE Internat. Conf. Acoust. Speech Signal Process., ICASSP-2013, Vancouver, Canada, May 26 – 31, 2013

Multimodal Data Analysis and Fusion

D. Cohen, T. Shnitzer, Y. Kluger, and R. Talmon, Few-Sample Feature Selection via Feature Manifold Learning, ICML, 2023
T. B. Yampolsky, O. Lindenbaum, and R. Talmon, Domain and Modality Adaptation Using Multi-Kernel Matching, EUSIPCO, 2023
L. Aloni, O. Bobrowski, and R. Talmon, Joint geometric and topological analysis of Hierarchical datasets, Proc. ECML-PKDD 2021
T. Shnitzer, M. Rapaport, N. Cohen, N. Yarovinsky, R. Talmon and J. Aharon-Peretz, Alternating diffusion maps for dementia severity assessment, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’17), New Orleans, USA, Mar. 2017
B. Laufer-Goldshtein, R. Talmon and S. Gannot, Speaker tracking on multiple-manifolds with distributed microphones, LVA/ICA, Feb. 2017
D. Dov, R. Talmon and I. Cohen, Kernel method for speech source activity detection in multi-modal signals, Proc. IEEE ICSEE 2016 – International Conference on the Science of Electrical Engineering, Eilat, Israel, Nov. 2016
O. Yair, R. Talmon, Multimodal metric learning with local CCA, Proc. SSP, 2016
R. R. Lederman, R. Talmon, H.-T. Wu, Y.-L. Lo, and R. R. Coifman, Alternating diffusion for common manifold learning with application to sleep stage assessment, Proc. 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’15), Brisbane, Australia, Apr. 2015

Data-driven Dynamical Systems Analysis

O. Rahamim and R. Talmon, Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’21), May 2021
O. Yair, E. Lustig, R. Talmon, M. Segev, Classifying Photonic Topological Phases Using Manifold Learning, Conference on Lasers and Electro-Optics (CLEO), paper FM1E.6, 2018

Transports on Manifolds

Y.-W. Lin, Y. Kluger, and R. Talmon, Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets, accepted for publication in ICASSP, 2024
Y.-W. Lin, Y. Kluger, and R. Talmon, Hyperbolic Procrustes Analysis Using Riemannian Geometry, Proc. NeurIPS 2021
G. Maman, O. Yair, D. Eytan, and R. Talmon, Domain adaptation using Riemannian geometry of SPD matrices, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’19), Brighton, UK, May 2019

Other

R. Dorfman, E. Wagner, A. Lahav, A. Amar, R. Talmon, and Y. Halle, Spatio-Temporal Detection of Cumulonimbus Clouds in Infrared Satellite Images, (Best student paper award), Proc. of IEEE ICSEE, 2018
A. Levis, R. Talmon, Y. Schechner, Statistical tomography of microscopic life, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6411-6420, 2018
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