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Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images.

, , and . ICASSP, page 7480-7484. IEEE, (2019)

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Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8573-8582. PMLR, (2020)The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1045-1053. PMLR, (2021)Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model., , and . ICLR, OpenReview.net, (2024)Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images., , and . ICASSP, page 7480-7484. IEEE, (2019)Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective., , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1858-1867. PMLR, (2023)Deep Multi-class Adversarial Specularity Removal., , , , and . SCIA, volume 11482 of Lecture Notes in Computer Science, page 3-15. Springer, (2019)Neural Networks Classify through the Class-Wise Means of Their Representations., and . AAAI, page 8204-8211. AAAI Press, (2022)Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 21449-21477. PMLR, (2022)Investigating Regularization of Self-Play Language Models., , , , and . CoRR, (2024)A Kernel Random Matrix-Based Approach for Sparse PCA., , and . ICLR (Poster), OpenReview.net, (2019)