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] . Hyper-Representations: Learning from Populations of Neural Networks. . University of St. Gallen. 2024. 
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(18.12 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 Track Datasets and Benchmarks. New Orleans, Louisiana, USA.; 2022. (937.59 KB)
(937.59 KB). Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS. 2022. (937.59 KB)
(937.59 KB). Disentangling neural network structure from the weights space. . 2021. (17.1 MB)
(17.1 MB). A Video Database for Analyzing Affective Physiological Responses. . 2019. (23.66 MB)
(23.66 MB)