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.”