A research collaboration with Prof. Bruno Ribeiro (Purdue University) funded by CAPES/PrInt.
Deep learning has recently made great strides in solving increasingly complex tasks by simply mapping vector inputs to desired outputs. Still, the fundamental problem of building neural networks that can account for pre-defined input invariances of these vectors remains largely open.