This workshop will explore low-rank matrix and tensor decompositions/approximations and their interactions with neural networks and machine learning in general. The workshop will cover theoretical foundations as well as practical applications, with the main aim of connecting researchers working in these fields. This workshop is also a closing event for the ANR LeaFleT project (project ANR-19-CE23-0021).
 

Confirmed speakers
 

• André de Almeida (Federal University of Ceara, Fortaleza)

• Christophe Cerisara (CNRS-LORIA, Nancy)

• Jérémy Cohen (CNRS-CREATIS, Lyon)

• Julia Gusak (INRIA, Bordeaux)

• Mariya Ishteva (Katholieke Universiteit Leuven)

• Bernard Mourrain (INRIA, Sophia-Antipolis)

• Francesco Tudisco (Edimbourg University)

• Yang Qi (INRIA, Saclay - Île-de-France)

• Yassine Zniyed (Toulon University)