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Hyperbolicity, degeneracy, and expansion of random intersection graphs., , , , , and . CoRR, (2014)Hyperbolicity, Degeneracy, and Expansion of Random Intersection Graphs., , , , , and . WAW, volume 9479 of Lecture Notes in Computer Science, page 29-41. Springer, (2015)Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?, , , and . CoRR, (2021)Dimensionality compression and expansion in Deep Neural Networks., , , , , and . CoRR, (2019)Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?, , , and . ICLR, OpenReview.net, (2022)GRACE: Generative Robust Analog Circuit Exploration., , , , and . EvoWorkshops, volume 3907 of Lecture Notes in Computer Science, page 332-343. Springer, (2006)Multi-Eulerian Tours of Directed Graphs., and . Electron. J. Comb., 23 (2): 2 (2016)Author Correction: Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion., , , , and . Nat. Mac. Intell., 4 (11): 1053 (November 2022)Autoencoder networks extract latent variables and encode these variables in their connectomes., , , , and . Neural Networks, (2021)Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion., , , , and . Nat. Mach. Intell., 4 (6): 564-573 (2022)