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Shahine Bouabid
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2020 – today
- 2024
- [c3]Anurag Singh, Siu Lun Chau, Shahine Bouabid, Krikamol Muandet:
Domain Generalisation via Imprecise Learning. ICML 2024 - [i7]Anurag Singh, Siu Lun Chau, Shahine Bouabid, Krikamol Muandet
:
Domain Generalisation via Imprecise Learning. CoRR abs/2404.04669 (2024) - [i6]Mengyan Zhang, Shahine Bouabid, Cheng Soon Ong, Seth R. Flaxman, Dino Sejdinovic:
Indirect Query Bayesian Optimization with Integrated Feedback. CoRR abs/2412.13559 (2024) - 2023
- [c2]Shahine Bouabid, Jake Fawkes, Dino Sejdinovic:
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge. ICML 2023: 2885-2913 - [i5]Shahine Bouabid, Jake Fawkes, Dino Sejdinovic:
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge. CoRR abs/2301.11214 (2023) - 2021
- [c1]Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic:
Deconditional Downscaling with Gaussian Processes. NeurIPS 2021: 17813-17825 - [i4]Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic:
Deconditional Downscaling with Gaussian Processes. CoRR abs/2105.12909 (2021) - 2020
- [i3]Shahine Bouabid, Vincent Delaitre:
Mixup Regularization for Region Proposal based Object Detectors. CoRR abs/2003.02065 (2020) - [i2]Shahine Bouabid, Maxim Chernetskiy, Maxime Rischard, Jevgenij Gamper:
Predicting Landsat Reflectance with Deep Generative Fusion. CoRR abs/2011.04762 (2020) - [i1]Paula Harder, William K. Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón
, Aris Marcolongo, Sofija Stefanovic, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris
:
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. CoRR abs/2011.07017 (2020)
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