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Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification., , , and . NeurIPS, (2020)Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions., , and . NeurIPS, (2020)Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8936-8947. PMLR, (2021)Large deviations for the perceptron model and consequences for active learning., , and . MSML, volume 107 of Proceedings of Machine Learning Research, page 390-430. PMLR, (2020)Generalisation error in learning with random features and the hidden manifold model., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3452-3462. PMLR, (2020)Planted matching problems on random hypergraphs., , , and . CoRR, (2022)Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions., , , , , and . CoRR, (2021)Lattice Model for Colloidal Gels and Glasses, , and . Physical Review Letters, (2008)Multi-layer generalized linear estimation., , , and . ISIT, page 2098-2102. IEEE, (2017)Machine learning and the physical sciences, , , , , , , and . (2019)cite arxiv:1903.10563.