Vincent Bürgin

Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability

Many striking phenomena in deep learning, such as linear mode connectivity and the structured behavior of training dynamics, are closely tied to parameter symmetries: transformations that leave the realized function unchanged. Despite growing attention to structural parameter symmetries, the exact i…