Nonlinear Data and Signal Analysis with Diffusion Operators

Project Information

DIFFOP

Grant agreement ID: 802735

DOI

10.3030/802735

Project closed

EC signature date 29 January 2019

Start date 1 February 2019

End date 31 January 2026

Funded under

EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 260 000,00

EU contribution

€ 1 260 000,00

1 260 000,00

Coordinated by

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Israel

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Extracting Common Components from Partially Observed Views Using Diffusion Geometry

Author(s): B. Weiss, H.-T. Wu, and R. Talmon
Published in: Transactions on Machine Learning Research, 2026, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers

Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment

Author(s): Almog Lahav, Ronen Talmon
Published in: IEEE Transactions on Signal Processing, Issue 71, 2023, Page(s) 1907-1921, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2023.3272159

Identifying Topological Phase Transitions in Experiments Using Manifold Learning

Author(s): Eran Lustig, Or Yair, Ronen Talmon, Mordechai Segev
Published in: Physical Review Letters, Issue 125/12, 2020, ISSN 0031-9007
Publisher: American Physical Society
DOI: 10.1103/physrevlett.125.127401

Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators

Author(s): Tal Shnitzer, Mirela Ben-Chen, Leonidas Guibas, Ronen Talmon, Hau-Tieng Wu
Published in: SIAM Journal on Mathematics of Data Science, Issue 1/3, 2019, Page(s) 588-616, ISSN 2577-0187
Publisher: SIAM Journal on Mathematics of Data Science
DOI: 10.1137/18m1218157

Domain Adaptation for DoA Estimation in Multipath Channels With Interferences

Author(s): Amitay Bar, Joseph S. Picard, Israel Cohen, Ronen Talmon
Published in: IEEE Transactions on Signal Processing, Issue 73, 2025, Page(s) 3734-3747, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2025.3577257

On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation

Author(s): Amitay Bar, Ronen Talmon
Published in: IEEE Transactions on Signal Processing, Issue 72, 2025, Page(s) 260-274, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2023.3322779

Spatiotemporal analysis using Riemannian composition of diffusion operators

Author(s): Tal Shnitzer, Hau-Tieng Wu, Ronen Talmon
Published in: Applied and Computational Harmonic Analysis, Issue 68, 2025, Page(s) 101583, ISSN 1063-5203
Publisher: Academic Press
DOI: 10.1016/j.acha.2023.101583

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

Author(s): Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 38, 2024, Page(s) 20328-20336, ISSN 2374-3468
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v38i18.30014

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry

Author(s): Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt Schalper, Yuval Kluger
Published in: PLOS Computational Biology, Issue 17, 2021, Page(s) e1008741, ISSN 1553-7358
Publisher: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1008741

Spectral Discovery of Jointly Smooth Features for Multimodal Data

Author(s): Felix Dietrich, Or Yair, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
Published in: SIAM Journal on Mathematics of Data Science, Issue 4, 2024, Page(s) 410-430, ISSN 2577-0187
Publisher: SIAM
DOI: 10.1137/21m141590x

Multimodal manifold learning using kernel interpolation along geodesic paths

Author(s): Ori Katz, Roy R. Lederman, Ronen Talmon
Published in: Information Fusion, Issue 114, 2026, Page(s) 102637, ISSN 1566-2535
Publisher: Elsevier BV
DOI: 10.1016/j.inffus.2024.102637

Domain and Modality Adaptation Using Multi-Kernel Matching

Author(s): Tamir Baruch Yampolsky, Ronen Talmon, Ofir Lindenbaum
Published in: 2023 31st European Signal Processing Conference (EUSIPCO), 2023, Page(s) 1285-1289
Publisher: IEEE
DOI: 10.23919/eusipco58844.2023.10290039

Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices

Author(s): Joseph S. Picard, Amitay Bar, Ronen Talmon
Published in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, Page(s) 8521-8525
Publisher: IEEE
DOI: 10.1109/icassp48485.2024.10445866

RTF Estimation Using Riemannian Geometry for Speech Enhancement in the Presence of Interferences

Author(s): Or Ronai, Yuval Sitton, Amitay Bar, Ronen Talmon
Published in: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026, Page(s) 1-5
Publisher: IEEE
DOI: 10.1109/icassp49660.2025.10888479

Hyperbolic Procrustes Analysis Using Riemannian Geometry

Author(s): Y.-W. Lin, Y. Kluger, and R. Talmon
Published in: Advances in Neural Information Processing Systems, 2021
Publisher: NeurIPS Foundation

Few-Sample Feature Selection via Feature Manifold Learning

Author(s): D. Cohen, T. Shnitzer, Y. Kluger, and R. Talmon
Published in: Proceedings of the International Conference on Machine Learning, 2023
Publisher: PMLR

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

Author(s): Y.-W. Lin, R. R. Coifman, G. Mishne, and R. Talmon
Published in: Proceedings of the International Conference on Machine Learning, 2023
Publisher: PMLR

Multi-Microphone Speaker Localization on Manifolds

Author(s): Bracha Laufer-Goldshtein, Ronen Talmon and Sharon Gannot
Published in: 2019
Publisher: IEEE

Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization

Author(s): Andreas Brendel, Bracha Laufer-Goldshtein, Sharon Gannot, Ronen Talmon and Walter Kellermann
Published in: 2019
Publisher: IEEE

Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion

Author(s): H. Mendelman and R. Talmon
Published in: Proceedings of the International Conference on Learning Representations (ICLR), 2025
Publisher: OpenReview / ICLR

Discovery of Single Independent Latent Variable

Author(s): U. Shaham, J. Svirsky, O. Katz, and R. Talmon
Published in: Advances in Neural Information Processing Systems, 2022
Publisher: NeurIPS Foundation

Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance

Author(s): Y.-W. Lin, R. R. Coifman, G. Mishne, and R. Talmon
Published in: Advances in Neural Information Processing Systems, 2025
Publisher: NeurIPS Foundation

Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator

Author(s): Ohad Rahamim, Ronen Talmon
Published in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, Page(s) 5310-5314
Publisher: IEEE
DOI: 10.1109/icassp39728.2021.9413729

Hyperbolic Distance Based on EMD and Diffusion for Hyperspectral Imaging

Author(s): Elad Lavi, Amir Bourvine, Ya-Wei Eileen Lin, Ronen Talmon
Published in: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026, Page(s) 1-5
Publisher: IEEE
DOI: 10.1109/icassp49660.2025.10889106

Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets

Author(s): Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
Published in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, Page(s) 6325-6329
Publisher: IEEE
DOI: 10.1109/icassp48485.2024.10446370

Hyperbolic Diffusion Tree-Wasserstein Distance for Data with Latent Feature Hierarchy

Author(s): Y.-W. Lin, R. R. Coifman, G. Mishne, and R. Talmon
Published in: Proceedings of the International Conference on Learning Representations (ICLR), 2025
Publisher: OpenReview / ICLR

Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold

Author(s): I. Cohen and R. Talmon
Published in: Advances in Neural Information Processing Systems, 2025
Publisher: NeurIPS Foundation

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry

Author(s): Y.-W. E. Lin, T. Shnitzer, R. Talmon, F. Villarroel-Espindola, S. Desai, K. Schalper, and Y. Kluger
Published in: 2020
Publisher: CSH - Cold Spring Harbor Laboratory
DOI: 10.1101/2020.08.23.263467

Spectral Discovery of Jointly Smooth Features for Multimodal Data

Author(s): O. Yair, F. Dietrich, R. Mulayoff, R. Talmon, and I. G. Kevrekidis
Published in: 2020
Publisher: Cornell University

Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation

Author(s): O. Yair, A. Lahav, and R. Talmon
Published in: 2020
Publisher: Cornell University

Domain Adaptation with Optimal Transport on the Manifold of SPD matrices

Author(s): O. Yair, F. Dietrich, I. G. Kevrekidis, and R. Talmon
Published in: 2020
Publisher: Cornell University

Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing

Author(s): O. Katz, R. R. Lederman, R. Talmon
Published in: 2020
Publisher: Cornell University

Joint Geometric and Topological Analysis of Hierarchical Datasets

Author(s): Lior Aloni, Omer Bobrowski, Ronen Talmon
Published in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2025, Page(s) 478-493
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-86523-8_29

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