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A General Theory of Equivariant CNNs on Homogeneous Spaces.

, , и . CoRR, (2018)

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Group Equivariant Convolutional Networks., и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2990-2999. JMLR.org, (2016)Efficient Neural Causal Discovery without Acyclicity Constraints., , и . CoRR, (2021)Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs., , , и . CoRR, (2020)A General Theory of Equivariant CNNs on Homogeneous Spaces., , и . CoRR, (2018)Learning the Irreducible Representations of Commutative Lie Groups., и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 1755-1763. JMLR.org, (2014)BISCUIT: Causal Representation Learning from Binary Interactions., , , , , и . UAI, том 216 из Proceedings of Machine Learning Research, стр. 1263-1273. PMLR, (2023)3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data., , , , и . NeurIPS, стр. 10402-10413. (2018)Transformer-based Transform Coding., , и . ICLR, OpenReview.net, (2022)On the Expressive Power of Geometric Graph Neural Networks., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 15330-15355. PMLR, (2023)Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems., , , , , и . ICLR, OpenReview.net, (2023)