The system demonstrates robust generalization between training and validation sets, suggesting reliable learning of the underlying computational principles.
The system demonstrates robust generalization between training and validation sets, suggesting reliable learning of the underlying computational principles.
We show that NCAs can learn to compress, transport, and reconstruct complex patterns through extreme spatial bottlenecks using only local interactions.
We show that NCAs can learn to compress, transport, and reconstruct complex patterns through extreme spatial bottlenecks using only local interactions.