deep21: a Deep Learning Method for 21cm Foreground Removal. - T. Lucas Makinen; Lachlan Lancaster; Francisco Villaescusa-Navarro; Peter Melchior; Shirley Ho; Laurence Perreault Levasseur; David N. Spergel (CoRR, 2020)

Exoplanet atmosphere evolution: emulation with random forests. - James G. Rogers; Clàudia Janó Muñoz; James E. Owen; T. Lucas Makinen (CoRR, 2021)

Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs. - T. Lucas Makinen; Justin Alsing; Benjamin D. Wandelt (CoRR, 2023)

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology. - Matthew Ho; Deaglan J. Bartlett; Nicolas Chartier; Carolina Cuesta-Lázaro; Simon Ding; Axel Lapel; Pablo Lemos; Christopher C. Lovell; T. Lucas Makinen; Chirag Modi 002; Viraj Pandya; Shivam Pandey; et al. (CoRR, 2024)

Hybrid summary statistics: neural weak lensing inference beyond the power spectrum. - T. Lucas Makinen; Alan Heavens; Natalia Porqueres; Tom Charnock; Axel Lapel; Benjamin D. Wandelt (CoRR, 2024)

Hybrid Summary Statistics. - T. Lucas Makinen; Ce Sui; Benjamin D. Wandelt; Natalia Porqueres; Alan Heavens (CoRR, 2024)