Henry Moss

According to our database, Henry Moss authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights.

Jixiang Qing, Henry Moss, Matthias Sachs

CoRR, May, 2026

Don't Get Your Kroneckers in a Twist: Gaussian Processes on High-Dimensional Incomplete Grids.

Mads Greisen Højlund, August Lykke-Møller, Henry Moss, Ove Christiansen

CoRR, May, 2026

Making Tunable Parameters State-Dependent in Weather and Climate Models with Reinforcement Learning.

Pritthijit Nath, Sebastian Schemm, Henry Moss, Peter Haynes, Emily Shuckburgh, Mark Webb

CoRR, January, 2026

2025

Define latent spaces by example: optimisation over the outputs of generative models.

Samuel Willis, Alexandru I. Stere, Dragos D. Margineantu, Henry T. Oldroyd, John A. Fozard, Carl Henrik Ek, Henry Moss, Erik Bodin

CoRR, September, 2025

FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models.

Pritthijit Nath, Sebastian Schemm, Henry Moss, Peter Haynes, Emily Shuckburgh, Mark Webb

CoRR, August, 2025

Integration-free Kernels for Equivariant Gaussian Process Modelling.

Tim Steinert, David Ginsbourger, August Lykke-Møller, Ove Christiansen, Henry Moss

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Linear combinations of latents in generative models: subspaces and beyond.

Erik Bodin, Alexandru I. Stere, Dragos D. Margineantu, Carl Henrik Ek, Henry Moss

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models.

Pritthijit Nath, Henry Moss, Emily Shuckburgh, Mark Webb

CoRR, 2024

Linear combinations of latents in diffusion models: interpolation and beyond.

Erik Bodin, Henry Moss, Carl Henrik Ek

CoRR, 2024