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Disambiguation of "Cranmer, Miles"

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Discovering Symbolic Models from Deep Learning with Inductive Biases

, , , , , , and . Advances in Neural Information Processing Systems, 33, page 17429--17442. Curran Associates, Inc., (2020)

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Hubert Miles

Thomas Cranmer

Simon Miles

Benedict Miles

Murray Lewis Miles

 

Other publications of authors with the same name

Machine Learning with Physics Knowledge for Prediction: A Survey., , , , , , , , , and 5 other author(s). CoRR, (2024)Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl. (2023)cite arxiv:2305.01582Comment: 24 pages, 5 figures, 3 tables. Feedback welcome. Paper source found at https://github.com/MilesCranmer/pysr_paper ; PySR at https://github.com/MilesCranmer/PySR ; SymbolicRegression.jl at https://github.com/MilesCranmer/SymbolicRegression.jl.Symbolic Regression with a Learned Concept Library., , , , and . CoRR, (2024)Discovering Symbolic Models from Deep Learning with Inductive Biases, , , , , , and . Advances in Neural Information Processing Systems, 33, page 17429--17442. Curran Associates, Inc., (2020)$Mangrove$: Learning Galaxy Properties from Merger Trees, , , , , and . (2022)cite arxiv:2210.13473Comment: 15 pages, 9 figures, 3 tables, 10 pages of Appendices. Accepted for publication in ApJ.Multiple physics pretraining for physical surrogate models, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:2310.02994, (2023)Rediscovering orbital mechanics with machine learning., , , , and . Mach. Learn. Sci. Technol., 4 (4): 45002 (December 2023)AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models., , , , , , , , , and 4 other author(s). CoRR, (2023)Mangrove: Learning Galaxy Properties from Merger Trees., , , , , and . CoRR, (2022)Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks., , , , and . CoRR, (2022)