Deconditional Downscaling with Gaussian Processes

Deconditional Downscaling with Gaussian Processes

27 May 2021

Dino Sejdinovic

Papers citing "Deconditional Downscaling with Gaussian Processes"

8 / 8 papers shown

Title
Multi-Scale Graph Learning for Anti-Sparse Downscaling Yingda Fan Runlong Yu Janet R. Barclay A. Appling Yiming Sun Yiqun Xie Xiaowei Jia AI4CE 38 0 0 03 May 2025
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes Hugh Dance Peter Orbanz Arthur Gretton CML 37 1 0 18 Oct 2024
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models Siu Lun Chau Krikamol Muandet Dino Sejdinovic FAtt 58 11 0 24 May 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 44 0 0 26 Jan 2023
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation Diego Martinez-Taboada Dino Sejdinovic CML OffRL 25 0 0 02 Nov 2022
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains Yusuke Tanaka Toshiyuki Tanaka Tomoharu Iwata Takeshi Kurashima Maya Okawa Yasunori Akagi Hiroyuki Toda 23 0 0 24 Jun 2022
AODisaggregation: toward global aerosol vertical profiles S. Bouabid D. Watson‐Parris Sofija Stefanović A. Nenes Dino Sejdinovic 29 0 0 06 May 2022
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 85 143 0 21 May 2012