Speakers
Chair: Phiala Shanahan
Members: Gurtej Kanwar
Christoph Lehner
Matteo Favoni
Description
• There is ongoing debate in the ML community about the value of trying to incorporate domain knowledge into architectures vs using computational brute force. What guides your intuition for the value of building symmetry-equivariant architectures? In your experience when is symmetry-equivariance valuable and when is it not?
• What makes gauge equivariance in particular challenging from a computational efficiency perspective?