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Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training., , and . CoRR, (2020)A jamming transition from under- to over-parametrization affects loss landscape and generalization., , , , , and . CoRR, (2018)Relation between bid--ask spread, impact and volatility in order-driven markets, , , , and . Quantitative Finance, 8 (1): 41--57 (2008)How memory architecture affects performance and learning in simple POMDPs., , and . CoRR, (2021)The jamming transition as a paradigm to understand the loss landscape of deep neural networks, , , , , , and . (2018)cite arxiv:1809.09349.Learning sparse features can lead to overfitting in neural networks., , , and . NeurIPS, (2022)Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm., , and . CoRR, (2019)Comparing Dynamics: Deep Neural Networks versus Glassy Systems., , , , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 324-333. PMLR, (2018)Marginal Stability Constrains Force and Pair Distributions at Random Close Packing. Physical Review Letters, (Sep 13, 2012)Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 30381-30405. PMLR, (2023)