Preprints

M. Zhang, S. Bouabid, C.S. Ong, S. Flaxman, D. Sejdinovic. Indirect Query Bayesian Optimization with Integrated Feedback.
ArXiv e-prints:2412.13559, 2024. link

In Press

S. Bouabid, D. Sejdinovic, D. Watson-Parris. FaIRGP : A Bayesian Energy Balance Model for Surface Temperature Emulation.
Journal of Advances in Modeling Earth Systems, 2024. link

A. Singh, S. L. Chau, S. Bouabid, K. Muandet. Domain Generalisation via Imprecise Learning.
International Conference on Machine Learning, 2024. link

S. Bouabid, D. Watson-Parris, S. Stefanovic, A. Nenes, D. Sejdinovic. Aerosol optical depth disaggregation : toward global aerosol vertical profiles.
Environmental Data Science, 2024. link

S. Bouabid^*, J. Fawkes^*, D. Sejdinovic. Returning the Favour : When Regression Benefits from Probabilistic Causal Knowledge.
International Conference on Machine Learning, 2023. link

D. Watson-Parris and co-authors including S. Bouabid. ClimateBench v1. 0: A Benchmark for Data-Driven Climate Projections.
Journal of Advances in Modeling Earth Systems, 2022. link

S. L. Chau^*, S. Bouabid^*, D. Sejdinovic. Deconditional Downscaling with Gaussian processes.
Advances in Neural Information Processing Systems, 2021. link

Non-Archival and Workshop Papers

T. Reichelt, S. Bouabid, L. Ong, D. Watson-Parris, T. Rainforth. Calibrating Earth System Models with Bayesian Optimal Experimental Design.
ICLR Workshop on Tackling Climate Change with Machine Learning, 2024. link

S. Bouabid, D. Watson-Parris, D. Sejdinovic. Bayesian Inference for Aerosol Vertical Profiles.
NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2022. link

S. Stefanovic, S. Bouabid, P. Stier, A. Nenes, and D. Sejdinovic. Reconstructing Aerosols Vertical Profiles with Aggregate Output Learning.
ICML Workshop on Tackling Climate Change with Machine Learning, 2021. link

S. Bouabid, M. Chernetskiy, M. Rischard, J. Gamper. Predicting landsat reflectance with deep generative fusion.
NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2020. link

P. Harder, W. Jones, R. Lguensat, S. Bouabid, J. Fulton, D. Quesada-Chacón, A. Marcolongo, S. Stefanović, Y. Rao, P. Manshausen, D. Watson-Parris. NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations.
NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2020. link

S. Bouabid, V. Delaitre. Mixup regularization for region proposal based object detectors.
ArXiv e-prints:2003.02065, 2020. link