neos: End-to-End-Optimised Summary Statistics for High Energy Physics. - Nathan Simpson; Lukas Heinrich (CoRR, 2022)

Data Analysis in High-Energy Physics as a Differentiable Program. - Nathan Simpson (2023)

FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design. - Tom Dunstan; Oliver Strickson; Thusal Bennett; Jack Bowyer; Matthew Burnand; James Chappell; Alejandro Coca-Castro; Kirstine Ida Dale; Eric G. Daub; Noushin Eftekhari; Manvendra Janmaijaya; Jon Lillis; et al. (CoRR, 2025)