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RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior.

, , , , и . Mach. Learn. Sci. Technol., 3 (3): 35009 (2022)

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Chen Chen

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Shih Chen Chen

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Chen-Loung Chen

 

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URLOST: Unsupervised Representation Learning without Stationarity or Topology., , , , и . CoRR, (2023)Orthogonal Convolutional Neural Networks, , , и . (2019)cite arxiv:1911.12207Comment: To appear in CVPR 2020, project page: http://pwang.pw/ocnn.html.Compact and Optimal Deep Learning with Recurrent Parameter Generators., , , , и . WACV, стр. 3889-3899. IEEE, (2023)Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform., , , , и . ICLR, OpenReview.net, (2023)RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior., , , , и . Mach. Learn. Sci. Technol., 3 (3): 35009 (2022)Orthogonal Convolutional Neural Networks., , , и . CVPR, стр. 11502-11512. Computer Vision Foundation / IEEE, (2020)Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers., , , и . CVPR, стр. 1-10. IEEE, (2022)Trajectory Regularization Enhances Self-Supervised Geometric Representation., , и . CoRR, (2024)PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout., , , , , , , , и . CoRR, (2024)Hermes: an integrated CPU/GPU microarchitecture for IP routing., , и . DAC, стр. 1044-1049. ACM, (2011)