Klaus-Rudolf Kladny
Scholar

Klaus-Rudolf Kladny

Google Scholar ID: 5SYxHUQAAAAJ
Max Planck Institute for Intelligent Systems
Machine LearningCausal InferenceDeep LearningArtificial IntelligenceStatistics
Citations & Impact
All-time
Citations
57
 
H-index
3
 
i10-index
2
 
Publications
8
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Paper 'Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering' accepted at ICLR 2025 (Jan 2025)
  • Paper 'Backtracking Counterfactuals for Deep Structural Causal Models' accepted at the 9th Causal Inference Workshop at UAI 2024 (May 2024)
  • Paper 'Enhanced prediction of vegetation responses to extreme drought using deep learning and Earth observation data' accepted at Ecological Informatics (May 2024)
  • Paper 'Deep Backtracking Counterfactuals for Causally Compliant Explanations' accepted at TMLR (Apr 2024)
  • Invited talk at Jinesis AI Lab, University of Toronto (Oct 2025)
  • Invited talk at Think & Link event, International Max Planck Research School for Intelligent Systems (Apr 2025)
  • Invited talk at Seminar for Statistics, ETH Zurich (Jan 2025)
Miscellany
  • Hobbies: jazz piano, creating big band arrangements, ultimate frisbee, running
  • Favorite non-technical books: 'The Old Man and the Sea' (Hemingway), 'The Atomic Human' (Neil D. Lawrence), 'The Selfish Gene' (Richard Dawkins), 'Faust: A Tragedy' (Goethe), 'Animal Farm' (George Orwell)
  • Languages: German (native), English, Norwegian
  • Programming languages: Python, R, SQL
  • Technologies: Scikit-Learn, Keras, PyTorch