Differentiable Programming for Earth System Modeling. - Maximilian Gelbrecht; Alistair White; Sebastian Bathiany; Niklas Boers (CoRR, 2022)

Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints. - Alistair White; Niki Kilbertus; Maximilian Gelbrecht; Niklas Boers (NeurIPS, 2023)

Stabilized Neural Differential Equations for Learning Constrained Dynamics. - Alistair White; Niki Kilbertus; Maximilian Gelbrecht; Niklas Boers (CoRR, 2023)

Machine Learning for predicting chaotic systems. - Christof Schötz; Alistair White; Maximilian Gelbrecht; Niklas Boers (CoRR, 2024)

Projected Neural Differential Equations for Learning Constrained Dynamics. - Alistair White; Anna Büttner; Maximilian Gelbrecht; Valentin Duruisseaux; Niki Kilbertus; Frank Hellmann; Niklas Boers (CoRR, 2024)

Improving the Noise Estimation of Latent Neural Stochastic Differential Equations. - Linus Heck; Maximilian Gelbrecht; Michael T. Schaub; Niklas Boers (CoRR, 2024)

SpeedyWeather.jl: Reinventing atmospheric general circulation models towards interactivity and extensibility. - Milan Klöwer; Maximilian Gelbrecht; Daisuke Hotta; Justin Willmert; Simone Silvestri; Gregory LeClaire Wagner; Alistair White; Sam Hatfield; Tom Kimpson; Navid C. Constantinou; Christopher Hill (J. Open Source Softw., 2024)

Generating time-consistent dynamics with discriminator-guided image diffusion models. - Philipp Hess; Maximilian Gelbrecht; Christof Schötz; Michael Aich; Yu Huang; Shangshang Yang; Niklas Boers (CoRR, 2025)