Limitations of Equivariance in AI and Potential Compensatory Strategies

This ArXiv paper likely delves into the theoretical limitations of enforcing equivariance in AI models, a crucial concept for ensuring robustness and generalizability. It likely explores methods to mitigate these limitations by analyzing and adjusting for the loss of expressive power inherent in strict equivariance constraints.