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Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes., , , , , , , , , и 12 other автор(ы). NeurIPS (Competition and Demos), том 220 из Proceedings of Machine Learning Research, стр. 1-17. PMLR, (2021)Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles., , , , , и . CoRR, (2023)Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model., , , и . CoRR, (2023)A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks., , , , , , , , , и 1 other автор(ы). CoRR, (2023)Discovering Sparse Representations of Lie Groups with Machine Learning., , , , , и . CoRR, (2023)Z2 × Z2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks., , , , , , , , , и 1 other автор(ы). CoRR, (2023)ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks., , , , , , , , , и 1 other автор(ы). Axioms, 13 (3): 188 (марта 2024)Oracle-Preserving Latent Flows., , , , и . CoRR, (2023)Quantum Vision Transformers for Quark-Gluon Classification., , , , , , , , , и 1 other автор(ы). Axioms, 13 (5): 323 (мая 2024)