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Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification., , and . CoRR, (2021)Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model., , and . CoRR, (2024)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)Lightweight Neural Networks From PCA & LDA Based Distilled Dense Neural Networks., , , and . ICIP, page 3060-3064. IEEE, (2020)Random Matrix Theory for AI: From Theory to Practice. (Théorie des matrices aléatoires pour l'IA: De la théorie à la pratique).. Supélec, Gif-sur-Yvette, France, (2020)Optimization-Based Neural Networks Compression., , and . ICIP, page 3512-3516. IEEE, (2021)Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images., , and . ICASSP, page 7480-7484. IEEE, (2019)Hotelling Deflation on Large Symmetric Spiked Tensors., , and . CoRR, (2023)Do Vision and Language Encoders Represent the World Similarly?, , , , , , and . CoRR, (2024)