Improved understanding of aqueous solubility modeling through topological data analysis. - Mariam Pirashvili; Lee Steinberg; Francisco Belchí Guillamón; Mahesan Niranjan; Jeremy G. Frey; Jacek Brodzki (J. Cheminformatics, 2018)

A self-organising eigenspace map for time series clustering. - Donya Rahmani; Damien Fay; Jacek Brodzki (CoRR, 2019)

A Numerical Measure of the Instability of Mapper-Type Algorithms. - Francisco Belchí Guillamón; Jacek Brodzki; Matthew Burfitt; Mahesan Niranjan (J. Mach. Learn. Res., 2020)

Estimation of Gaussian mixture models via tensor moments with application to online learning. - Donya Rahmani; Mahesan Niranjan; Damien Fay; Akiko Takeda; Jacek Brodzki (Pattern Recognit. Lett., 2020)

The Geometry of Synchronization Problems and Learning Group Actions. - Tingran Gao; Jacek Brodzki; Sayan Mukherjee 001 (Discret. Comput. Geom., 2021)

Multiscale geometrical and topological learning in the analysis of soft matter collective dynamics. - Tetiana Orlova; Amaranta Membrillo Solis; Hayley R. O. Sohn; Tristan Madeleine; Giampaolo D'Alessandro; Ivan I. Smalyukh; Malgosia Kaczmarek; Jacek Brodzki (CoRR, 2025)