Our guest speaker Prof. Andrjei Cichocki has just shared an abstract of his upcoming session. This is the first session of Friday, Jul 28, we start at 9:15am.

“Tensor decompositions (TD) and their generalizations tensor networks (TN) are promising, and emerging
tools in Machine Learning (ML), especially in Deep Learning (DL), since  input/output  data  outputs
in hidden layers can be naturally represented and described  as higher-order tensors and most operations
can be performed using  optimized linear/multilinear algebra.”

Read full abstract