Enhanced prediction of vegetation responses to extreme drought using deep learning and Earth observation data KR Kladny, M Milanta, O Mraz, K Hufkens, BD Stocker Ecological Informatics 80, 102474, 2024 | 20* | 2024 |
Multi-agent actor-critic with time dynamical opponent model Y Tian, KR Kladny, Q Wang, Z Huang, O Fink Neurocomputing 517, 165-172, 2023 | 12 | 2023 |
Deep backtracking counterfactuals for causally compliant explanations KR Kladny, J von Kügelgen, B Schölkopf, M Muehlebach Transactions on Machine Learning Research (TMLR), 2024 | 2 | 2024 |
Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators KR Kladny, J von Kügelgen, B Schölkopf, M Muehlebach 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023 | 1 | 2023 |
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering KR Kladny, B Schölkopf, M Muehlebach International Conference on Learning Representations (ICLR), 2025 | | 2025 |
Backtracking Counterfactuals for Deep Structural Causal Models KR Kladny, J von Kügelgen, B Schölkopf, M Muehlebach 9th Causal Inference Workshop at UAI 2024, 0 | | |
Canonical Transformation and Detransformation: Better Learn the Second Stage Bounding Box Refinement Y Liu, KR Kladny | | |