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The Emergence of Reproducibility and Consistency in Diffusion Models., , , , , и . CoRR, (2023)Analysis of the Optimization Landscapes for Overcomplete Representation Learning., , , , и . CoRR, (2019)Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification., , , и . CoRR, (2014)Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications, , , , , и . (2020)cite arxiv:2001.06970Comment: QQ and ZZ contributed equally to the work. Invited review paper for IEEE Signal Processing Magazine Special Issue on non-convex optimization for signal processing and machine learning. This article contains 26 pages with 11 figures.A Geometric Analysis of Neural Collapse with Unconstrained Features., , , , , , и . NeurIPS, стр. 29820-29834. (2021)On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 27179-27202. PMLR, (2022)Efficient Low-Dimensional Compression of Overparameterized Models., , , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 1009-1017. PMLR, (2024)Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization., , , , , и . CoRR, (2024)Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation., , , и . CoRR, (2024)Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization., , , и . NeurIPS, (2020)