Baird, Sterling G., Liu, Marianne, and Sparks, Taylor D. High-dimensional Bayesian optimization of 23 hyperparameters over 100 iterations for an attention-based network to predict materials property: A case study on CrabNet using Ax platform and SAASBO. Retrieved from https://par.nsf.gov/biblio/10340398. Computational Materials Science 211.C Web. doi:10.1016/j.commatsci.2022.111505.

Baird, Sterling G., Liu, Marianne, & Sparks, Taylor D. High-dimensional Bayesian optimization of 23 hyperparameters over 100 iterations for an attention-based network to predict materials property: A case study on CrabNet using Ax platform and SAASBO. Computational Materials Science, 211 (C). Retrieved from https://par.nsf.gov/biblio/10340398. https://doi.org/10.1016/j.commatsci.2022.111505

Baird, Sterling G., Liu, Marianne, and Sparks, Taylor D. "High-dimensional Bayesian optimization of 23 hyperparameters over 100 iterations for an attention-based network to predict materials property: A case study on CrabNet using Ax platform and SAASBO". Computational Materials Science 211 (C). Country unknown/Code not available. https://doi.org/10.1016/j.commatsci.2022.111505. https://par.nsf.gov/biblio/10340398.

@article{osti_10340398,
place = {Country unknown/Code not available}, title = {High-dimensional Bayesian optimization of 23 hyperparameters over 100 iterations for an attention-based network to predict materials property: A case study on CrabNet using Ax platform and SAASBO}, url = {https://par.nsf.gov/biblio/10340398}, DOI = {10.1016/j.commatsci.2022.111505}, abstractNote = {}, journal = {Computational Materials Science}, volume = {211}, number = {C}, author = {Baird, Sterling G. and Liu, Marianne and Sparks, Taylor D.}, }