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Lattice Glass Models, и . Physical Review Letters, 88 (2): 025501+ (декабря 2001)A jamming transition from under- to over-parametrization affects loss landscape and generalization., , , , , и . CoRR, (2018)Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias., , , и . NeurIPS, стр. 9330-9340. (2019)On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions., , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 3655-3663. PMLR, (2024)Dynamic criticality at the jamming transition, , и . The Journal of Chemical Physics, 138 (12): 12A507+ (13.09.2013)Cooperative Behavior of Kinetically Constrained Lattice Gas Models of Glassy Dynamics, , и . Journal of Statistical Physics, 120 (1): 167--238 (28.07.2005)How to iron out rough landscapes and get optimal performances: Replicated Gradient Descent and its application to tensor PCA., , и . CoRR, (2019)ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases., , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 2286-2296. PMLR, (2021)On the interplay between data structure and loss function in classification problems., , , и . NeurIPS, стр. 8506-8517. (2021)An analytic theory of shallow networks dynamics for hinge loss classification., и . NeurIPS, (2020)