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symbolic-regression

Citations for Symbolic Regression

https://github.com/soumyadeepchatterjee/symbolic-regression

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Citations for Symbolic Regression

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Created 10 months ago · Last pushed 10 months ago
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Symbolic-Regression

Citations for Symbolic Regression

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REFERENCES
[1] Udrescu, S.-M., Tan, A., Feng, J., Neto, O., Wu, T., & Tegmark, M. (2020, December 16). 
Ai Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity. arXiv.org. 
https://arxiv.org/abs/2006.10782 

[2] Shojaee, P., Meidani, K., Barati Farimani, A., & Reddy, C. (2023, December 15). 
Transformer-based planning for symbolic regression. Advances in Neural Information Processing Systems. 
https://proceedings.neurips.cc/paper_files/paper/2023/hash/8ffb4e3118280a66b192b6f06e0e2596-Abstract-Conference.html 

[3] Biggio, L., Bendinelli, T., Neitz, A., Lucchi, A., & Parascandolo, G. (2021, July). 
Neural symbolic regression that scales. In International Conference on Machine Learning (pp. 936-945). Pmlr.

[4] La Cava, W., Burlacu, B., Virgolin, M., Kommenda, M., Orzechowski, P., de França, F. O., ... & Moore, J. H. (2021). 
Contemporary symbolic regression methods and their relative performance. 
Advances in neural information processing systems, 2021(DB1), 1.

[5] Kamienny, P. A., d'Ascoli, S., Lample, G., & Charton, F. (2022). 
End-to-end symbolic regression with transformers. Advances in Neural Information Processing Systems, 35, 10269-10281.

[6] Valipour, M., You, B., Panju, M., & Ghodsi, A. (2021). Symbolicgpt: A generative transformer model for 
symbolic regression. arXiv preprint arXiv:2106.14131.

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