no code implementations • 11 Oct 2023 • Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
Counterfactuals answer questions of what would have been observed under altered circumstances and can therefore offer valuable insights.
1 code implementation • 9 Jun 2023 • Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
We study causal effect estimation from a mixture of observational and interventional data in a confounded linear regression model with multivariate treatments.
1 code implementation • bioRxiv 2022 • Klaus-Rudolf Kladny, Marco Milanta, Oto Mraz, Koen Hufkens, Benjamin D. Stocker
Here, we target the spatial and temporal variations of land surface reflectance and vegetation greenness, measuring the density of green vegetation and active foliage area, conditioned on current and past climate and the local topography.
Ranked #3 on Earth Surface Forecasting on EarthNet2021 OOD Track
no code implementations • 12 Apr 2022 • Yuan Tian, Klaus-Rudolf Kladny, Qin Wang, Zhiwu Huang, Olga Fink
In this paper, we propose to exploit the fact that the agents seek to improve their expected cumulative reward and introduce a novel \textit{Time Dynamical Opponent Model} (TDOM) to encode the knowledge that the opponent policies tend to improve over time.