Supervised Learning Using Homology Stable Rank Kernels. - Jens Agerberg; Ryan Ramanujam; Martina Scolamiero; Wojciech Chachólski (Frontiers Appl. Math. Stat., 2021)

Global and Relative Topological Features from Homological Invariants of Subsampled Datasets. - Jens Agerberg; Wojciech Chachólski; Ryan Ramanujam (TAG-ML, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 2023)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

Certifying Robustness via Topological Representations. - Jens Agerberg; Andrea Guidolin; Andrea Martinelli; Pepijn Roos Hoefgeest; David Eklund; Martina Scolamiero (CoRR, 2025)

Algebraic Wasserstein distances and stable homological invariants of data. - Jens Agerberg; Andrea Guidolin; Isaac Ren; Martina Scolamiero (J. Appl. Comput. Topol., 2025)