Nonlinear Data and Signal Analysis with Diffusion Operators (DIFFOP)
O. Katz, R. R. Lederman, and R. Talmon,
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing arxiv
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, submitted. arxiv
O. Yair, A. Lahav, and R. Talmon,
Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation, submitted. arxiv
E. Lustig, O. Yair, R. Talmon, M. Segev, Identifying Topological Phase Transitions in Experiments Using Manifold Learning, accepted for publication in Physical Review Letters (PRL)
O. Yair, F. Dietrich, R. Mulayoff, R. Talmon, and I. G. Kevrekidis,
Spectral Discovery of Jointly Smooth Features for Multimodal Data, submitted. arxiv
O. Yair, F. Dietrich, I. G. Kevrekidis, and R. Talmon,
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices, submitted. arxiv
Riemannian Geometry
O. Katz, R. R. Lederman, and R. Talmon,
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing arxiv
O. Yair, A. Lahav, and R. Talmon,
Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation, submitted. arxiv
O. Yair, F. Dietrich, I. G. Kevrekidis, and R. Talmon,
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices, submitted. arxiv
Audio and Acoustic Signal Processing
B. Laufer-Goldstein, R. Talmon, S. Gannot, Analysis of Linear Optimization over Correlations for Speaker Diarization and Separation, submitted, 2019
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
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
Intrinsic Representations
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, submitted. arxiv
E. Lustig, O. Yair, R. Talmon, M. Segev, Identifying Topological Phase Transitions in Experiments Using Manifold Learning, accepted for publication in Physical Review Letters (PRL)
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, 2020
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
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, 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
Multimodal Data Analysis and Fusion
O. Katz, R. R. Lederman, and R. Talmon,
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing arxiv
O. Yair, F. Dietrich, R. Mulayoff, R. Talmon, and I. G. Kevrekidis,
Spectral Discovery of Jointly Smooth Features for Multimodal Data, submitted. arxiv
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
Data-driven Dynamical Systems Analysis
E. Lustig, O. Yair, R. Talmon, M. Segev, Identifying Topological Phase Transitions in Experiments Using Manifold Learning, accepted for publication in Physical Review Letters (PRL)
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
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
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
Transports on Manifolds
O. Yair, A. Lahav, and R. Talmon,
Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation, submitted. arxiv
O. Yair, F. Dietrich, I. G. Kevrekidis, and R. Talmon,
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices, submitted. arxiv
Other
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