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The frontier of simulation-based inference, , и . (2019)Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers., , и . CoRR, (2023)Weakly supervised causal representation learning., , , и . NeurIPS, (2022)Probabilistic and Differentiable Wireless Simulation with Geometric Transformers., , , , и . CoRR, (2024)Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set., , , , , и . Trans. Mach. Learn. Res., (2023)Mining gold from implicit models to improve likelihood-free inference, , , и . (2018)cite arxiv:1805.12244Comment: Code available at https://github.com/johannbrehmer/simulator-mining-example . v2: Fixed typos. v3: Expanded discussion, added Lotka-Volterra example. v4: Improved clarity.Geometric Algebra Transformers., , , и . CoRR, (2023)Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics., , , , , и . CoRR, (2024)Flows for simultaneous manifold learning and density estimation., и . NeurIPS, (2020)Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers., , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 3088-3096. PMLR, (2024)