How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks

Teodor-Mihai Stupariu, Andrei Manolache

Equivariant neural networks encode geometric symmetries by construction, yet they are often difficult to optimize and can underperform less constrained architectures. A growing bod…