Sustainability and Machine Learning Group
Sustainability and Machine Learning Group
Home
Team
Publications
Blog
Teaching
Talks
News
Openings
Publications
Learning Chaos In A Linear Way (2025)
Embedding machine-learnt sub-grid variability improves climate model precipitation patterns. (2024)
Scalable Data Assimilation with Message Passing (2024)
Interpretable Deep Gaussian Processes for Geospatial Tasks (2024)
ParticleDA.jl v.1.0: a distributed particle-filtering data assimilation package (2024)
Cite
×