Talks

Conferences

2024

  1. SIAM LA24
    Orthogonalization schemes in tensor train format
    Martina Iannacito, Olivier Coulaud, and Luc Giraud
    Part of "Approximate Computing Techniques for Orthogonalization Processes ", organized by Vieublé, B. and Balabanov, O..
    At SIAM Conference on Applied Linear Algebra, May 2024
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2023

  1. SIAM AG23
    On Some Orthogonalization Schemes in Tensor Train Format
    Martina Iannacito, Olivier Coulaud, and Luc Giraud
    Part of "Geometry in Optimization and Numerical (Multi)Linear Algebra", organized by K. Usevich, and Y. Qi.
    At SIAM Conference on Applied Algebraic Geometry, Jul 2023
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  2. 29 NAC
    Orthogonalization schemes in Tensor Train format
    Martina Iannacito, Olivier Coulaud, and Luc Giraud
    Part of "Approximate computing in numerical linear algebra", organized by N. Higham, X. Liu, and B. Vieublé.
    At 29th Biennial Conference on Numerical Analysis, Jun 2023
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2022

  1. SIAM MDS22
    Extension of Correspondence Analysis to multiway data-sets through HOSVD: a geometric framework
    Martina Iannacito, Olivier Coulaud, and Alain Franc
    Part of "Tensor Decompositions for Data Science", organized by R. Minster, and N. Vannieuwenhoven.
    At SIAM Conference on Mathematics of Data Science, Sep 2022
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Workshops

2025

  1. INdAM 25
    A Subspace-Conjugate Gradient method for linear matrix equations
    Martina Iannacito, Davide Palitta, and Valeria Simoncini
    Part of "Low-rank Structures and Numerical Methods in Matrix and Tensor Computations", organized by M. Benzi, B. Meini, V. Simoncini, F. Durastante, C. Pagliantini, and D. Palitta.
    At INdAM Workshop, Sep 2025
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2023

  1. METT X
    An algebraic algorithm for blind source separation and tensor decomposition
    Martina Iannacito, Lieven De Lathauwer, and Ignat Domanov
    Part of "Matrix Equations and Tensor Techniques X", organized by P. Benner, H. Faßbender, L. Grasedyck, D. Kressner, B. Meini, and V. Simoncini.
    At RWTH Aachen University, Sep 2023
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  2. BIRS 23
    An algebraic algorithm for blind source separation and tensor decomposition
    Martina Iannacito, Lieven De Lathauwer, and Ignat Domanov
    Part of "New Directions in Applied Linear Algebra", organized by J. Cockayne, J. Pearson, J. Pestana, D. Silvester, and V. Simoncini.
    At Banff International Research Station, Aug 2023
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2022

  1. GAMM 22
    GMRES in variable accuracy: a case study in low rank tensor linear systems
    Martina Iannacito, Emmanuel Agullo, Olivier Coulaud, and 3 more authors
    Part of "GAMM - Workshop on Applied and Numerical Linear Algebra 2022", organized by E. Carson, I. Hnětynková, S. Pozza, P.Tichý, and M. Tůma.
    At Faculty of Mathematics and Physics, Charles University, Sep 2022
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Seminar

2024

  1. Tensor Train: description and applications
    Martina Iannacito
    At Department of Mathematics, Alma Mater Studiorum, Dec 2024
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  2. Potential and applications of tensor-based algorithms
    Martina Iannacito
    At Department of Mathematics, Alma Mater Studiorum, Apr 2024
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2023

  1. Tensor-based algorithms: applications and challanges
    Martina Iannacito
    At ENSEEIHT, Dec 2023
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  2. Introduzione ai tensori: dalle applicazioni alle sfide contemporanee
    Martina Iannacito
    At Mathematical departement of Pisa University, Nov 2023
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  3. Discovering tensors: their challenges and applications
    Martina Iannacito
    At Mathematical departement of Trento University, Nov 2023
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  4. From blind source separation to tensor decomposition: an algebraic algorithm
    Martina Iannacito, Lieven De Lathauwer, and Ignat Domanov
    At Computer Science departement of KU Leuven, Oct 2023
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2022

  1. Solving linear systems in high dimension with TT-GMRES
    Martina Iannacito, Olivier Coulaud, and Luc Giraud
    At Inria Center at the University of Bordeaux, Feb 2022

2020

  1. Malabar dataset: data analysis in tensor format
    Martina Iannacito, Olivier Coulaud, and Alain Fran
    At Inria Center at the University of Bordeaux, May 2020