| 2025 | CVPR | Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. | Thomas Dags, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel |
| 2025 | ICASSP | Hyperbolic Distance Based on EMD and Diffusion for Hyperspectral Imaging. | Elad Lavi, Amir Bourvine, Ya-Wei Eileen Lin, Ronen Talmon |
| 2025 | ICASSP | RTF Estimation Using Riemannian Geometry for Speech Enhancement in the Presence of Interferences. | Or Ronai, Yuval Sitton, Amitay Bar, Ronen Talmon |
| 2025 | ICLR | Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. | Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon |
| 2025 | ICLR | Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion. | Harel Mendelman, Ronen Talmon |
| 2024 | AAAI | The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. | Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon |
| 2024 | ICASSP | Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets. | Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon |
| 2024 | ICASSP | Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices. | Joseph S. Picard, Amitay Bar, Ronen Talmon |
| 2023 | ICML | Few-Sample Feature Selection via Feature Manifold Learning. | David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon |
| 2023 | ICML | Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. | Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon |
| 2021 | ICASSP | Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator. | Ohad Rahamim, Ronen Talmon |
| 2020 | ICML | Option Discovery in the Absence of Rewards with Manifold Analysis. | Amitay Bar, Ronen Talmon, Ron Meir |
| 2019 | ICASSP | 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 |
| 2019 | ICASSP | Domain Adaptation Using Riemannian Geometry of Spd Matrices. | Gal Maman, Or Yair, Danny Eytan, Ronen Talmon |
| 2019 | WACV | DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. | Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel |
| 2018 | CVPR | Statistical Tomography of Microscopic Life. | Aviad Levis, Yoav Y. Schechner, Ronen Talmon |
| 2018 | ICASSP | Multi-View Source Localization Based on Power Ratios. | Bracha Laufer-Goldshtein, Ronen Talmon, Israel Cohen, Sharon Gannot |
| 2017 | ICASSP | Alternating diffusion maps for dementia severity assessment. | Tal Shnitzer, Maya Rapaport, Noga Cohen, Natalya Yarovinsky, Ronen Talmon, Judith Aharon-Peretz |
| 2016 | ICASSP | Improving resolution in supervised patch-based target detection. | Ron Amit, Gal Mishne, Ronen Talmon |
| 2016 | ICASSP | Manifold-based Bayesian inference for semi-supervised source localization. | Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot |
| 2015 | ICASSP | 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 |
| 2013 | ICASSP | Blind reverberation time estimation by intrinsic modeling of reverberant speech. | Ronen Talmon, Emanul A. P. Habets |
| 2012 | ICASSP | Supervised system identification based on local PCA models. | Tomer Koren, Ronen Talmon, Israel Cohen |
| 2011 | ICASSP | Clustering and suppression of transient noise in speech signals using diffusion maps. | Ronen Talmon, Israel Cohen, Sharon Gannot |
| 2010 | ICASSP | Speech enhancement in transient noise environment using diffusion filtering. | Ronen Talmon, Israel Cohen, Sharon Gannot |
| 2009 | ICASSP | Multichannel speech enhancement using convolutive transfer function approximation in reverberant environments. | Ronen Talmon, Israel Cohen, Sharon Gannot |