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On the Limitations of Representing Functions on Sets., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6487-6494. PMLR, (2019)SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks., , , and . NeurIPS, (2020)E(n) Equivariant Normalizing Flows., , , , and . NeurIPS, page 4181-4192. (2021)Simple Distributed Δ + 1 Coloring in the SINR Model., and . SIROCCO, volume 9439 of Lecture Notes in Computer Science, page 149-163. Springer, (2015)Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes., , , , , , and . BMVC, page 73. BMVA Press, (2019)Iterative SE(3)-Transformers., , , and . GSI, volume 12829 of Lecture Notes in Computer Science, page 585-595. Springer, (2021)Equilibrium aggregation: encoding sets via optimization., , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 139-149. PMLR, (2022)Universal Approximation of Functions on Sets., , , , and . J. Mach. Learn. Res., (2022)E(n) Equivariant Normalizing Flows for Molecule Generation in 3D., , , , and . CoRR, (2021)