( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Discovering Symbolic Models from Deep Learning with Inductive Biases.

, , , , , , и . CoRR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Hubert Miles

Thomas Cranmer

Simon Miles

Benedict Miles

Murray Lewis Miles

 

Другие публикации лиц с тем же именем

Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks., , , , , , , и . CoRR, (2022)Mangrove: Learning Galaxy Properties from Merger Trees., , , , , и . CoRR, (2022)Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter., , , , , , , , , и . CoRR, (2022)Automated discovery of interpretable gravitational-wave population models., и . CoRR, (2022)AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models., , , , , , , , , и 4 other автор(ы). CoRR, (2023)Symbolic Regression on FPGAs for Fast Machine Learning Inference., , , , , , , , , и . CoRR, (2023)Rediscovering orbital mechanics with machine learning., , , , и . Mach. Learn. Sci. Technol., 4 (4): 45002 (декабря 2023)Predicting the thermal Sunyaev-Zel'dovich field using modular and equivariant set-based neural networks., , , , и . Mach. Learn. Sci. Technol., 3 (3): 35002 (2022)Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.. CoRR, (2023)Multiple Physics Pretraining for Physical Surrogate Models., , , , , , , , , и 4 other автор(ы). CoRR, (2023)