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Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers., , , и . CoRR, (2024)Optimal Protocols for Continual Learning via Statistical Physics and Control Theory., , и . CoRR, (2024)The role of regularization in classification of high-dimensional noisy Gaussian mixture, , , и . (2020)cite arxiv:2002.11544Comment: 8 pages + appendix, 6 figures.Optimal Protocols for Continual Learning via Statistical Physics and Control Theory., , и . ICLR, OpenReview.net, (2025)Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification., , , и . NeurIPS, (2020)Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem., , и . Mach. Learn. Sci. Technol., 2 (3): 35029 (сентября 2021)Learning curves for the multi-class teacher-student perceptron., , , , , и . Mach. Learn. Sci. Technol., 4 (1): 15019 (марта 2023)The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 6874-6883. PMLR, (2020)Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization., , , , , , и . CoRR, (2023)Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods., , , , и . SIAM J. Math. Data Sci., 6 (2): 400-427 (2024)