Improving Set Function Approximation with Quasi-Arithmetic Neural Networks

Tomas Tokar, Scott Sanner

Sets represent a fundamental abstraction across many types of data. To handle the unordered nature of set-structured data, models such as DeepSets and PointNet rely on fixed, non-l…