Complex-Valued Neural Networks

This paper introduces several advancements for continuous and distributed object-centric representations, scaling them from simple toy to real-world data.

We perform unsupervised object-centric representation learning by exploiting complex-valued activations in an unconstrained autoencoder architecture.