Improving Sample and Feature Selection with Principal Covariates Regression. - Rose K. Cersonsky; Benjamin A. Helfrecht; Edgar A. Engel; Michele Ceriotti (CoRR, 2020)

Chemiscope: interactive structure-property explorer for materials and molecules. - Guillaume Fraux; Rose K. Cersonsky; Michele Ceriotti (J. Open Source Softw., 2020)

Structure-property maps with Kernel principal covariates regression. - Benjamin A. Helfrecht; Rose K. Cersonsky; Guillaume Fraux; Michele Ceriotti (Mach. Learn. Sci. Technol., 2020)

Improving sample and feature selection with principal covariates regression. - Rose K. Cersonsky; Benjamin A. Helfrecht; Edgar A. Engel; Sergei Kliavinek; Michele Ceriotti (Mach. Learn. Sci. Technol., 2021)

Interpretable Visualizations of Data Spaces for Classification Problems. - Christian Jorgensen; Arthur Y. Lin; Rose K. Cersonsky (CoRR, 2025)

AniSOAP: Machine Learning Representations for Coarse-grained and Non-spherical Systems. - Arthur Yan Lin; Lucas Ortengren; Seonwoo Hwang; Yong-Cheol Cho; Jigyasa Nigam; Rose K. Cersonsky (J. Open Source Softw., 2025)