< l a t e x i t s h a 1 _ b a s e 6 4 = " v J q h 6 3 x L R F o n K 4 u I P O S 6 E N l 6 q U c = " thus provides a quantitative measure of the correlation between two explanations. In performing this average, we only include normalized attributions a(x) in absolute value above a given threshold (0.05), to avoid the score to depend on the amount of white space in the picture. The score is normalized such that it takes value between 0 (which occurs when the transformation commutes with the attribution maps, aT = T a) and 1 (which occurs when aT = -T a and a = ±1). As a reference, if a = U (-1, 1), the uniform distribution in the interval