It's worth mentioning the kinds of applications functions such as the inverse hyperbolic sine can have. They're especially useful for normalizing fat-tailed distributions such as those for wealth or insurance claims where they work quite well. The problem comes in the re-transformation bias when trying to return the predictions of a model, say, based on these functions back to their original form.