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Jakob Runge

DLR, Institut für Datenwissenschaften, Jena, Germany, Technische Universität Berlin, Faculty of Computer Science, Berlin, Germany

Using Time Structure to Estimate Causal Effects

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Apr 15, 2025
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Sanity Checking Causal Representation Learning on a Simple Real-World System

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Feb 27, 2025
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Internal Incoherency Scores for Constraint-based Causal Discovery Algorithms

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Feb 20, 2025
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Causal discovery with endogenous context variables

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Dec 06, 2024
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Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support

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Oct 27, 2024
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Causal Representation Learning in Temporal Data via Single-Parent Decoding

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Oct 09, 2024
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Metrics on Markov Equivalence Classes for Evaluating Causal Discovery Algorithms

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Feb 07, 2024
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Invariance & Causal Representation Learning: Prospects and Limitations

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Dec 06, 2023
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ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning

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Nov 07, 2023
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Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions

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Nov 05, 2023
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