Klaus-Rudolf Kladny
Biography
I completed a B. Sc. in Computer Science at TU Dresden in 2020 and a M. Sc. in Data Science at ETH Zurich in 2023. Currently, I am pursuing a Ph.D. at the Max Planck Institute for Intelligent Systems in Tübingen, where I have the good fortune of being advised by Dr. Michael Mühlebach and Prof. Bernhard Schölkopf.
Links
GitHub
X (Twitter)
Google Scholar
News
-
01/2025 💬
I was invited to give a talk at the Seminar for Statistics at ETH Zurich -
01/2025 📖
"Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering" accepted at ICLR 2025 -
05/2024 📕
"Backtracking Counterfactuals for Deep Structural Causal Models" accepted at the 9th causal inference workshop at UAI 2024 -
05/2024 📖
"Enhanced prediction of vegetation responses to extreme drought using deep learning and Earth observation data" accepted at Ecological Informatics -
04/2024 📖
"Deep Backtracking Counterfactuals for Causally Compliant Explanations" accepted at TMLR
Skillset
Programming Languages
Python, R, SQL
Other Technologies
Machine Learning with Scikit-Learn, Keras, PyTorch
Spoken (fluent) Languages
German (native), English, Norwegian
Research Interests
- causality
- risk control
- neural networks
- generative models
Favorite Books
(only non-technical books are featured here)- The Old Man and the Sea by Ernest Hemingway
- The Atomic Human by Neil D. Lawrence
- The Selfish Gene by Richard Dawkins
- Faust: A Tragedy by Johann Wolfgang von Goethe
- Animal Farm by George Orwell
Hobbies
- Jazz piano
- hiking
- running