Learning Linear Groups in Neural Networks

• Published in: arXiv.org
• Main Authors: Theodosis, Emmanouil, Helwani, Karim, Demba Ba
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 29.05.2023
• Subjects: Computer architecture; Machine learning; Neural networks

Employing equivariance in neural networks leads to greater parameter efficiency and improved generalization performance through the encoding of domain knowledge in the architecture; however, the majority of existing approaches require an a priori specification of the desired symmetries. We present a...