Jakob Runge
Identifiers
- name variant Jakob Runge 0.60 · backfill
Papers (45)
- Identifying Direct Causal Effects in Latent Factor Models by Accounting for Unidentified Parents stat.ME · 2026 · author #3
- Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting stat.AP · 2025 · author #7
- Causal discovery on vector-valued variables and consistency-guided aggregation stat.ME · 2025 · author #4
- Using Time Structure to Estimate Causal Effects stat.ME · 2025 · author #2
- Sanity Checking Causal Representation Learning on a Simple Real-World System cs.LG · 2025 · author #3
- Causal discovery with endogenous context variables cs.LG · 2024 · author #6
- Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support cs.LG · 2024 · author #3
- Causal Representation Learning in Temporal Data via Single-Parent Decoding cs.LG · 2024 · author #8
- Asymptotic Uncertainty in the Estimation of Frequency Domain Causal Effects for Linear Processes stat.ME · 2024 · author #4
- Causal Inference on Process Graphs, Part II: Causal Structure and Effect Identification math.ST · 2024 · author #4
- Separation-based distance measures for causal graphs stat.ME · 2024 · author #2
- Invariance & Causal Representation Learning: Prospects and Limitations stat.ML · 2023 · author #4
- ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning cs.LG · 2023 · author #7
- Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions stat.ML · 2023 · author #4
- Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation cs.LG · 2023 · author #3
- Projecting infinite time series graphs to finite marginal graphs using number theory math.ST · 2023 · author #5
- Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents cs.LG · 2023 · author #7
- Causal discovery for time series from multiple datasets with latent contexts stat.ME · 2023 · author #3
- Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery stat.ME · 2023 · author #4
- Foundations of Causal Discovery on Groups of Variables stat.ME · 2023 · author #3
- Discovering Causal Relations and Equations from Data physics.data-an · 2023 · author #10
- Causal Inference on Process Graphs, Part I: The Structural Equation Process Representation math.ST · 2023 · author #4
- Causally-informed deep learning to improve climate models and projections physics.ao-ph · 2023 · author #6
- Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery stat.ML · 2023 · author #5
- Vector causal inference between two groups of variables stat.ME · 2022 · author #3
- Causal inference for temporal patterns stat.ME · 2022 · author #3
- Causal inference for process understanding in Earth sciences physics.ao-ph · 2021 · author #3
- EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task cs.LG · 2021 · author #4
- Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing cs.CV · 2021 · author #3
- Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables cs.LG · 2021 · author #1
- EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts cs.LG · 2020 · author #4
- High-recall causal discovery for autocorrelated time series with latent confounders stat.ME · 2020 · author #2
- A Perspective on Gaussian Processes for Earth Observation cs.LG · 2020 · author #3
- Reconstructing regime-dependent causal relationships from observational time series stat.ME · 2020 · author #4
- Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets stat.ME · 2020 · author #1
- Common solar wind drivers behind magnetic storm-magnetospheric substorm dependency physics.space-ph · 2018 · author #1
- Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information stat.ML · 2017 · author #1
- Detecting causal associations in large nonlinear time series datasets stat.ME · 2017 · author #1
- Quantifying information transfer and mediation along causal pathways in complex systems stat.ME · 2015 · author #1
- Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package physics.data-an · 2015 · author #5
- Optimal model-free prediction from multivariate time series stat.ML · 2015 · author #1
- Disentangling different types of El Ni\~no episodes by evolving climate network analysis physics.data-an · 2013 · author #3
- On the graph-theoretical interpretation of Pearson correlations in a multivariate process and a novel partial correlation measure math.ST · 2013 · author #1
- Comment on Wibral et al. (2013): Measuring information-transfer delays, PloS ONE 8(2): e55809 physics.data-an · 2013 · author #1
- Quantifying Causal Coupling Strength: A Lag-specific Measure For Multivariate Time Series Related To Transfer Entropy physics.data-an · 2012 · author #1
Mentions
- 2504.11076 #2 · arxiv_oai · confidence 0.70 Jakob Runge
- 2505.10476 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2502.20099 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 2402.04952 #2 · arxiv_oai · confidence 0.70 Jakob Runge
- 2412.04981 #6 · arxiv_oai · confidence 0.70 Jakob Runge
- 2410.20405 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 2410.07013 #8 · arxiv_oai · confidence 0.70 Jakob Runge
- 2406.17422 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2305.11561 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2406.18191 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2311.02695 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2304.12952 #6 · arxiv_oai · confidence 0.70 Jakob Runge
- 2306.07047 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 2308.16599 #7 · arxiv_oai · confidence 0.70 Jakob Runge
- 2312.03580 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2311.03721 #7 · arxiv_oai · confidence 0.70 Jakob Runge
- 2310.11132 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 2310.05526 #5 · arxiv_oai · confidence 0.70 Jakob Runge
- 2304.05294 #5 · arxiv_oai · confidence 0.70 Jakob Runge
- 2102.10324 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 2306.12896 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 2306.11498 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2305.13341 #10 · arxiv_oai · confidence 0.70 Jakob Runge
- 2209.14283 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 2205.15149 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 2003.03685 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 2105.00912 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 2104.10066 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2103.06179 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 2007.01884 #2 · arxiv_oai · confidence 0.70 Jakob Runge
- 2012.06246 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2007.00267 #4 · arxiv_oai · confidence 0.70 Jakob Runge
- 2007.01238 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 1702.07007 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 1802.02477 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 1709.01447 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 1507.01571 #5 · arxiv_oai · confidence 0.70 Jakob Runge
- 1508.03808 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 1210.2748 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 1506.05822 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 1304.7930 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 1310.5494 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 1310.5169 #1 · arxiv_oai · confidence 0.70 Jakob Runge
- 1508.03808 #1 · backfill · confidence 0.70 Jakob Runge
- 1507.01571 #5 · backfill · confidence 0.70 Jakob Runge
- 1506.05822 #1 · backfill · confidence 0.70 Jakob Runge
- 1310.5494 #3 · backfill · confidence 0.70 Jakob Runge
- 1310.5169 #1 · backfill · confidence 0.70 Jakob Runge
- 2605.28105 #3 · arxiv_oai · confidence 0.70 Jakob Runge
- 1304.7930 #1 · backfill · confidence 0.70 Jakob Runge
- 1210.2748 #1 · backfill · confidence 0.70 Jakob Runge
Frequent Coauthors
- Andreas Gerhardus 13 shared papers
- Jonas Wahl 11 shared papers
- Urmi Ninad 10 shared papers
- J\"urgen Kurths 4 shared papers
- Nicolas-Domenic Reiter 4 shared papers
- Reik V. Donner 4 shared papers
- Wiebke G\"unther 4 shared papers
- Joachim Denzler 3 shared papers
- Markus Reichstein 3 shared papers
- Peer Nowack 3 shared papers
- Simon Bing 3 shared papers
- Tom Beucler 3 shared papers
- Christian Requena-Mesa 2 shared papers
- David Rolnick 2 shared papers
- Dino Sejdinovic 2 shared papers
- Frederick Iat-Hin Tam 2 shared papers
- Gustau Camps-Valls 2 shared papers
- Jobst Heitzig 2 shared papers
- Jonathan F. Donges 2 shared papers
- Julia Kaltenborn 2 shared papers