TRICAP (Three-way Methods in Chemistry and Psychology) brings together experts in multiway data analysis/tensor decompositions from different fields. Following the TRICAP tradition, in the 2025 edition, we focus on (coupled) tensor decompositions, models, algorithms, and applications – bringing together experts from chemometrics, psychometrics, signal processing, statistics, data science and machine learning. Here is TRICAP in time in photos – thanks to Pieter Kroonenberg.
Lieven De Lathauwer, KU Leuven
Martin Haardt, Ilmenau University of Technology
Borbala Hunyadi, Delft University of Technology
Katrijn Van Deun, Tilburg University
Irina Gaynanova, University of Michigan
Danny Dunlavy, Sandia National Laboratories
Eric F. Lock, University of Minnesota
Arthur Tenenhaus, L2S CNRS
Nikos Sidiropoulos, University of Virginia
Nico Vervliet, KU Leuven
Jean Kossaifi, NVIDIA
Jesper Løve Hinrich, Technical University of Denmark
Kim Batselier, Delft University of Technology
Jérémy Cohen, CNRS Creatis
Konstantin Usevich, CRAN
David Hong, University of Delaware
Evrim Acar, Simula
Federico Marini, University of Rome "La Sapienza"
Charlotte Vermeylen, KU Leuven
Kazu Ghalamkari, Technical University of Denmark
Tom Wilderjans, Leiden University
Paul-Albert Schneide, University of Copenhagen
Sebastian Miron, CRAN
Tomass Andersons, University of Rostock
Roel van der Ploeg, University of Amsterdam
Fred White, University of Amsterdam
Christos Chatzis, Simula & Oslo Metropolitan University
Giorgio Tomasi, University of Copenhagen
Niccoló Ciolli, Technical University of Denmark
Balazs Erdos, Simula
Julius Jessen Terp, University of Copenhagen