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Effectively using unsupervised machine learning in next generation astronomical surveys

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Semi-supervised Learning of Partial Differential Operators and Dynamical Flows., , , , and . CoRR, (2022)Detect the Unexpected: Novelty Detection in Large Astrophysical Surveys using Fisher Vectors., , , and . KDIR, page 124-134. ScitePress, (2019)Electric Analog Circuit Design with Hypernetworks and a Differential Simulator., and . CoRR, (2019)Electric Analog Circuit Design with Hypernetworks And A Differential Simulator., and . ICASSP, page 4157-4161. IEEE, (2020)Semi-supervised learning of partial differential operators and dynamical flows., , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1785-1794. PMLR, (2023)Effectively using unsupervised machine learning in next generation astronomical surveys., , , , and . Astron. Comput., (2021)Gradient Adjusting Networks for Domain Inversion., , and . SCIA (2), volume 13886 of Lecture Notes in Computer Science, page 118-137. Springer, (2023)Text Segmentation as a Supervised Learning Task., , , , and . NAACL-HLT (2), page 469-473. Association for Computational Linguistics, (2018)Natural Statistics Of Network Activations And Implications For Knowledge Distillation., and . ICIP, page 399-403. IEEE, (2021)Shuffling Recurrent Neural Networks., and . AAAI, page 9428-9435. AAAI Press, (2021)