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Runge, Jakob

  1. Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets
    2020/03/07 by Jakob Runge, Runge, Jakob · 27 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Blind Source Separation Techniques #Cognitive Science and Mapping #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Neural Networks and Applications #Time Series Analysis and Forecasting
  2. High-recall causal discovery for autocorrelated time series with latent confounders
    2020/07/03 by Gerhardus, Andreas, Runge, Jakob · 15 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  3. Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information
    2017/09/05 by Jakob Runge, Runge, Jakob · 11 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gene expression and cancer classification #Information Theory (cs.IT) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
  4. Discovering Causal Relations and Equations from Data
    2023/05/21 by Gustau Camps‐Valls, Camps-Valls, Gustau, Andreas Gerhardus +17 · 12 citations
    Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Reservoir Engineering and Simulation Methods #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
  5. ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
    2023/11/07 by Kaltenborn, Julia, Lange, Charlotte E. E., Ramesh, Venkatesh +6 · 7 citations
    #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
  6. Foundations of Causal Discovery on Groups of Variables
    2023/06/12 by Jonas Wahl, Urmi Ninad, Wahl, Jonas +3 · 6 citations
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
  7. Vector causal inference between two groups of variables
    2022/09/28 by Jonas Wahl, Wahl, Jonas, Urmi Ninad +3 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Data Management and Algorithms #FOS: Computer and information sciences #Methodology (stat.ME)
  8. Causal inference for process understanding in Earth sciences
    2021/05/03 by Adam Massmann, Pierre Gentine, Massmann, Adam +3 · 4 citations
    Computer Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Bayesian Modeling and Causal Inference #FOS: Physical sciences #Geochemistry and Geologic Mapping
  9. EarthNet2021: A large-scale dataset and challenge for Earth surface\n forecasting as a guided video prediction task
    2021/04/16 by Christian Requena‐Mesa, Vitus Benson, Requena-Mesa, Christian +7 · 3 citations
    Earth and Planetary Sciences · Environmental Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Remote Sensing and LiDAR Applications #Remote Sensing in Agriculture
  10. Causal discovery for time series from multiple datasets with latent contexts
    2023/06/22 by Günther, Wiebke, Ninad, Urmi, Runge, Jakob · 4 citations
    #FOS: Computer and information sciences #Methodology (stat.ME)
  11. Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions
    2023/11/05 by Simon Bing, Bing, Simon, Urmi Ninad +5 · 4 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  12. Separation-based distance measures for causal graphs
    2024/02/07 by Wahl, Jonas, Runge, Jakob · 3 citations
    #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
  13. Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing
    2021/03/10 by Christian Reimers, Paul Bodesheim, Reimers, Christian +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Data Classification
  14. Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
    2025/03/21 by Rebecca Herman, Jonas Wahl, Herman, Rebecca J. +5 · 3 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #Cognitive Science and Mapping
  15. Invariance & Causal Representation Learning: Prospects and Limitations
    2023/12/06 by Bing, Simon, Wahl, Jonas, Ninad, Urmi +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents
    2023/08/31 by Felix Wagner, Florian Nachtigall, Wagner, Felix +15 · 1 citation
    Social Sciences · #FOS: Computer and information sciences #FOS: Physical sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Physics and Society (physics.soc-ph) #Transportation Planning and Optimization #Urban Transport and Accessibility
  17. Causal discovery on vector-valued variables and consistency-guided aggregation
    2025/05/15 by Urmi Ninad, Jonas Wahl, Ninad, Urmi +5 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Methodology (stat.ME)
  18. Sanity Checking Causal Representation Learning on a Simple Real-World System
    2025/02/27 by Juan L. Gamella, Simon Bing, Gamella, Juan L. +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Methodology (stat.ME)