Aerosol optical depth disaggregation: toward global aerosol vertical profiles
S. Bouabid, D. Watson-Parris, S. Stefanovic, A. Nenes, and D. Sejdinovic
Published in Environmental Data Science, 2024
Publications
Domain Generalisation via Imprecise Learning
A. Singh, S. L. Chau, S. Bouabid, and K. Muandet
Published in International Conference on Machine Learning, 2024
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation
S. Bouabid, D. Sejdinovic and D. Watson-Parris
Published in Journal of Advances in Modeling Earth Systems, 2024
Returning The Favour: When Regression Benefits from Probabilistic Causal Knowledge
S. Bouabid*, J. Fawkes*, and D. Sejdinovic
Published in International Conference on Machine Learning, 2023
ClimateBench v1. 0: A Benchmark for Data‐Driven Climate Projections
D. Watson-Parris, Y. Rao, D. Olivié, Ø. Seland, P. Nowack, G. Camp-Valls, P. Stier, S. Bouabid, M. Dewey, E. Fons, J. Gonzalez, P. Harder, K. Jeggle, J. Lenhardt, P. Manshausen, M. Novitasari, L. Ricard, C. Roesch
Published in Journal of Advances in Modeling Earth Systems, 2022
Deconditional Downscaling with Gaussian processes
S. L. Chau*, S. Bouabid*, and D. Sejdinovic
Published in Advances in Neural Information Processing Systems, 2021