Pavel Gurevich

Learning uncertainty in regression tasks by artificial neural networks

2017 · arXiv (Cornell University)

We suggest a general approach to quantification of different forms of uncertainty in regression tasks performed by artificial neural networks. It is based on the simultaneous training of two neural networks with a joint loss …