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] Filters: Author is Schürholt, Konstantin [Clear All Filters]
. Disentangling neural network structure from the weights space. . 2021. 
(17.1 MB)
(17.1 MB). Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. In NeurIPS 2022 - Neural Information Processing Systems. 2022. (4.6 MB)
(4.6 MB). Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS. 2022. (937.59 KB)
(937.59 KB). Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS 2022 Track Datasets and Benchmarks. New Orleans, Louisiana, USA.; 2022. (937.59 KB)
(937.59 KB). Hyper-Representations: Learning from Populations of Neural Networks. . University of St. Gallen. 2024. (18.12 MB)
(18.12 MB)