Optimal Performance of Second-Order Multidimensional ICA. - Dana Lahat; Jean-François Cardoso; Hagit Messer (ICA, 2009)

Multidimensional ICA and its performance analysis applied to CMB observations. - Dana Lahat; Jean-François Cardoso; Maude Le Jeune; Hagit Messer (ICASSP, 2011)

Identifiability of second-order multidimensional ICA. - Dana Lahat; Jean-François Cardoso; Hagit Messer (EUSIPCO, 2012)

Joint Block Diagonalization Algorithms for Optimal Separation of Multidimensional Components. - Dana Lahat; Jean-François Cardoso; Hagit Messer (LVA/ICA, 2012)

Second-Order Multidimensional ICA: Performance Analysis. - Dana Lahat; Jean-François Cardoso; Hagit Messer (IEEE Trans. Signal Process., 2012)

Challenges in multimodal data fusion. - Dana Lahat; Tülay Adali; Christian Jutten (EUSIPCO, 2014)

Joint blind source separation of multidimensional components: Model and algorithm. - Dana Lahat; Christian Jutten (EUSIPCO, 2014)

Blind Separation of Multi-Dimensional Components via Subspace Decomposition: Performance Analysis. - Dana Lahat; Jean-François Cardoso; Hagit Messer (IEEE Trans. Signal Process., 2014)

Joint Independent Subspace Analysis: A Quasi-Newton Algorithm. - Dana Lahat; Christian Jutten (LVA/ICA, 2015)

Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects. - Dana Lahat; Tülay Adali; Christian Jutten (Proc. IEEE, 2015)

An alternative proof for the identifiability of independent vector analysis using second order statistics. - Dana Lahat; Christian Jutten (ICASSP, 2016)

Joint analysis of multiple datasets by cross-cumulant tensor (block) diagonalization. - Dana Lahat; Christian Jutten (SAM, 2016)

Joint Independent Subspace Analysis Using Second-Order Statistics. - Dana Lahat; Christian Jutten (IEEE Trans. Signal Process., 2016)

A New Link Between Joint Blind Source Separation Using Second Order Statistics and the Canonical Polyadic Decomposition. - Dana Lahat; Christian Jutten (LVA/ICA, 2018)

Joint Independent Subspace Analysis by Coupled Block Decomposition: Non-Identifiable Cases. - Dana Lahat; Christian Jutten (ICASSP, 2018)

Schur's Lemma for Coupled Reducibility and Coupled Normality. - Dana Lahat; Christian Jutten; Helene Shapiro (SIAM J. Matrix Anal. Appl., 2019)

Joint Independent Subspace Analysis: Uniqueness and Identifiability. - Dana Lahat; Christian Jutten (IEEE Trans. Signal Process., 2019)

Positive Semidefinite Matrix Factorization Based on Truncated Wirtinger Flow. - Dana Lahat; Cédric Févotte (EUSIPCO, 2020)

Positive Semidefinite Matrix Factorization: A Link to Phase Retrieval And A Block Gradient Algorithm. - Dana Lahat; Cédric Févotte (ICASSP, 2020)

Positive Semidefinite Matrix Factorization: A Connection With Phase Retrieval and Affine Rank Minimization. - Dana Lahat; Yanbin Lang; Vincent Y. F. Tan; Cédric Févotte (IEEE Trans. Signal Process., 2021)