Discovering causal relations and equations from data G Camps-Valls, A Gerhardus*, U Ninad*, G Varando*, G Martius, ... Physics Reports 1044, 1-68, 2023 | 79 | 2023 |
Wilson loop algebras and quantum K-theory for Grassmannians H Jockers, P Mayr, U Ninad, A Tabler Journal of High Energy Physics 2020 (10), 1-20, 2020 | 30 | 2020 |
Causal discovery for time series from multiple datasets with latent contexts W Günther, U Ninad, J Runge Uncertainty in Artificial Intelligence, 766-776, 2023 | 17 | 2023 |
The geometry of gauged linear sigma model correlation functions A Gerhardus, H Jockers, U Ninad Nuclear Physics B 933, 65-133, 2018 | 15 | 2018 |
BPS indices, modularity and perturbations in quantum K-theory H Jockers, P Mayr, U Ninad, A Tabler Journal of High Energy Physics 2022 (2), 1-65, 2022 | 14 | 2022 |
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions S Bing, U Ninad*, J Wahl*, J Runge Causal Learning and Reasoning, 843-867, 2024 | 10 | 2024 |
Foundations of causal discovery on groups of variables J Wahl, U Ninad, J Runge Journal of Causal Inference 12 (1), 20230041, 2024 | 6 | 2024 |
Vector causal inference between two groups of variables J Wahl*, U Ninad*, J Runge Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12305 …, 2023 | 6 | 2023 |
Projecting infinite time series graphs to finite marginal graphs using number theory A Gerhardus, J Wahl, S Faltenbacher, U Ninad, J Runge arXiv preprint arXiv:2310.05526, 2023 | 5 | 2023 |
Invariance & Causal Representation Learning: Prospects and Limitations S Bing, J Wahl*, U Ninad*, J Runge Causal Representation Learning Workshop at NeurIPS 2023, 2023 | 2 | 2023 |
Causal discovery with endogenous context variables W Günther*, OI Popescu*, M Rabel*, U Ninad, A Gerhardus, J Runge Advances in Neural Information Processing Systems 37, 36243-36284, 2025 | 1 | 2025 |
Increasing effect sizes of pairwise conditional independence tests between random vectors T Hochsprung, J Wahl*, A Gerhardus*, U Ninad*, J Runge Uncertainty in Artificial Intelligence, 879-889, 2023 | 1 | 2023 |
Clustering of causal graphs to explore drivers of river discharge W Günther, P Miersch, U Ninad, J Runge Environmental Data Science 2, e25, 2023 | 1 | 2023 |
Conditional independence testing with heteroskedastic data and applications to causal discovery W Günther, U Ninad*, J Wahl*, J Runge Advances in Neural Information Processing Systems 35, 16191-16202, 2022 | 1 | 2022 |
Low Dimensional Gauge Theories and Quantum Geometry U Ninad Universitäts-und Landesbibliothek Bonn, 2020 | 1 | 2020 |
SPACETIME: Causal Discovery from Non-Stationary Time Series S Mameche, L Cornanguer, U Ninad*, J Vreeken* arXiv preprint arXiv:2501.10235, 2025 | | 2025 |
Causal analysis discovers an enhanced impact of tropical western Pacific on Indian Summer Monsoon subseasonal anomalies D Du, AC Subramanian, W Han, U Ninad, J Runge Geophysical Research Letters 51 (10), e2023GL106431, 2024 | | 2024 |
Journal of causal inference: Foundations of causal discovery on groups of variables J Wahl, U Ninad, J Runge de Gruyter, 2024 | | 2024 |
Enhanced Impact of Tropical Western Pacific on Indian Summer Monsoon Subseasonal Anomalies Discovered by Using a Causal Discovery Method D Du, A Subramanian, W Han, U Ninad, J Runge AGU Fall Meeting Abstracts 2023 (2373), A53J-2373, 2023 | | 2023 |
Increasing Effect Sizes of Pairwise Conditional Independence Tests between Random Vectors (Supplementary Material) T Hochsprung, J Wahl, A Gerhardus, U Ninad, J Runge | | |