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Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers.

, , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3088-3096. PMLR, (2024)

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