Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Publication information:
B. Bozkurt, C. Pehlevan, and A. Erdogan,
“Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry”, Advances in Neural Information Processing Systems (NeurIPS), 2023.