Exact addition, subtraction, multiplication, and division of real numbers is a challenge for machine learning models.
Neural networks can approximate complex functions. However, when extrapolating to out-of-distribution samples on arithmetic operations neural networks often fail. I would like to gather a set of applications requiring exact arithmetic of real numbers – do you have any ideas?