English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Neural Symbolic Regression that Scales

MPS-Authors
/persons/resource/persons232718

Neitz,  Alexander
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons218057

Parascandolo,  Giambattista
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

External Resource

https://proceedings.mlr.press/v139/biggio21a.html
(Publisher version)

https://doi.org/10.48550/arXiv.2106.06427
(Preprint)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Biggio, L., Bendinelli, T., Neitz, A., Lucchi, A., & Parascandolo, G. (2021). Neural Symbolic Regression that Scales. In M. Meila, & T. Zhang (Eds.), Proceedings of 38th International Conference on Machine Learning (ICML 2021) (pp. 936-945). PMLR. Retrieved from https://proceedings.mlr.press/v139/biggio21a.html.


Cite as: https://hdl.handle.net/21.11116/0000-000F-EC76-3
Abstract
There is no abstract available