Ninad, Urmi

10 publications

AAAI 2025 SPACETIME: Causal Discovery from Non-Stationary Time Series Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken

CLeaR 2025 Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery Rebecca J. Herman, Jonas Wahl, Urmi Ninad, Jakob Runge

NeurIPS 2024 Causal Discovery with Endogenous Context Variables Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel, Urmi Ninad, Andreas Gerhardus, Jakob Runge

CLeaR 2024 Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions Simon Bing, Urmi Ninad, Jonas Wahl, Jakob Runge

TMLR 2024 Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing, Tom Hochsprung, Jonas Wahl, Urmi Ninad, Jakob Runge

UAI 2023 Causal Discovery for Time Series from Multiple Datasets with Latent Contexts Wiebke Günther, Urmi Ninad, Jakob Runge

UAI 2023 Increasing Effect Sizes of Pairwise Conditional Independence Tests Between Random Vectors Tom Hochsprung, Jonas Wahl, Andreas Gerhardus, Urmi Ninad, Jakob Runge

NeurIPSW 2023 Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing, Jonas Wahl, Urmi Ninad, Jakob Runge

AAAI 2023 Vector Causal Inference Between Two Groups of Variables Jonas Wahl, Urmi Ninad, Jakob Runge

NeurIPS 2022 Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery Wiebke Günther, Urmi Ninad, Jonas Wahl, Jakob Runge