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The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers., , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1045-1053. PMLR, (2021)Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 8573-8582. PMLR, (2020)Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model., , и . ICLR, OpenReview.net, (2024)Falcon2-11B Technical Report., , , , , , , , , и 7 other автор(ы). CoRR, (2024)A Kernel Random Matrix-Based Approach for Sparse PCA., , и . ICLR (Poster), OpenReview.net, (2019)On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis., , , и . CAMSAP, стр. 221-225. IEEE, (2023)Node Feature Kernels Increase Graph Convolutional Network Robustness., , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 6225-6241. PMLR, (2022)Node Feature Kernels Increase Graph Convolutional Network Robustness., , , и . CoRR, (2021)How Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse., , , , и . CoRR, (2024)Generative collaborative networks for single image super-resolution., , и . Neurocomputing, (2020)