2024
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, 2023O. Katz, R. R. Lederman, and R. Talmon,
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing, submitted arxiv2022
G. Pai, A. Bronstein, R. Talmon, and R. Kimmel,
Deep Isometric Maps, Image and Vision Computing, 123, 104461, 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, 2022O. Yair, A. Lahav, and R. Talmon,
Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation, submitted. arxivO. Yair, F. Dietrich, I. G. Kevrekidis, and R. Talmon,
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices, submitted. arxiv2021
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, 2021E. 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, 20212020
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, 20202019
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, 2018B. 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, 2018F. 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, 20182017
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. 2017A. 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, 20172016
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. 2016C. 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, 20162015
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. 20132012
2011
2009
Journals
