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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)

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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)A Concentration of Measure Perspective to Robust Statistics., and . CAMSAP, page 679-683. IEEE, (2019)Large Dimensional Asymptotics of Multi-Task Learning., , and . ICASSP, page 8787-8791. IEEE, (2020)