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Noether's Learning Dynamics: Role of Symmetry Breaking in Neural Networks., and . NeurIPS, page 25646-25660. (2021)Two Routes to Scalable Credit Assignment without Weight Symmetry., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5511-5521. PMLR, (2020)Noether's Learning Dynamics: The Role of Kinetic Symmetry Breaking in Deep Learning., and . CoRR, (2021)Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics., , , , and . ICLR, OpenReview.net, (2021)The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks., , , and . ICLR, OpenReview.net, (2023)Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics., , , , and . CoRR, (2020)Pruning neural networks without any data by iteratively conserving synaptic flow., , , and . NeurIPS, (2020)Loss Landscapes of Regularized Linear Autoencoders., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3560-3569. PMLR, (2019)Two Routes to Scalable Credit Assignment without Weight Symmetry, , , , , and . (2020)cite arxiv:2003.01513Comment: 19 pages including supplementary information, 10 figures.