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Noether's Learning Dynamics: Role of Symmetry Breaking in Neural Networks.

, and . NeurIPS, page 25646-25660. (2021)

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Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks., , , and . CoRR, (2023)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)Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics., , , , and . CoRR, (2020)Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion., , , , , , and . CoRR, (2021)The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion., , , , , , and . Neural Comput., 36 (1): 151-174 (January 2024)Pruning neural networks without any data by iteratively conserving synaptic flow., , , and . NeurIPS, (2020)The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks., , , and . CoRR, (2022)Noether's Learning Dynamics: The Role of Kinetic Symmetry Breaking in Deep Learning., and . CoRR, (2021)The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks., , , and . ICLR, OpenReview.net, (2023)