Підписатись
Urmi Ninad
Urmi Ninad
Postdoc, TU Berlin
Підтверджена електронна адреса в tu-berlin.de
Назва
Посилання
Посилання
Рік
Discovering causal relations and equations from data
G Camps-Valls, A Gerhardus*, U Ninad*, G Varando*, G Martius, ...
Physics Reports 1044, 1-68, 2023
792023
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
302020
Causal discovery for time series from multiple datasets with latent contexts
W Günther, U Ninad, J Runge
Uncertainty in Artificial Intelligence, 766-776, 2023
172023
The geometry of gauged linear sigma model correlation functions
A Gerhardus, H Jockers, U Ninad
Nuclear Physics B 933, 65-133, 2018
152018
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
142022
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions
S Bing, U Ninad*, J Wahl*, J Runge
Causal Learning and Reasoning, 843-867, 2024
102024
Foundations of causal discovery on groups of variables
J Wahl, U Ninad, J Runge
Journal of Causal Inference 12 (1), 20230041, 2024
62024
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
62023
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
52023
Invariance & Causal Representation Learning: Prospects and Limitations
S Bing, J Wahl*, U Ninad*, J Runge
Causal Representation Learning Workshop at NeurIPS 2023, 2023
22023
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
12025
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
12023
Clustering of causal graphs to explore drivers of river discharge
W Günther, P Miersch, U Ninad, J Runge
Environmental Data Science 2, e25, 2023
12023
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
12022
Low Dimensional Gauge Theories and Quantum Geometry
U Ninad
Universitäts-und Landesbibliothek Bonn, 2020
12020
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
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Статті 1–20