Urmi Ninad - RankMe

17 papers A* 4A 2Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Causal Structure of Time Series using Best Order Score Search. CoRR Irene Gema Castillo Mansilla, Urmi Ninad
2025	A*	`conf`	SPACETIME: Causal Discovery from Non-Stationary Time Series. AAAI Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken
2025	J	`jnl`	SpaceTime: Causal Discovery from Non-Stationary Time Series. CoRR Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken
2025	—	`conf`	Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery. CLeaR Rebecca Herman, Jonas Wahl, Urmi Ninad, Jakob Runge
2025	J	`jnl`	Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery. CoRR Rebecca Herman, Jonas Wahl, Urmi Ninad, Jakob Runge
2024	A*	`conf`	Causal discovery with endogenous context variables. NeurIPS Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel, Urmi Ninad, Andreas Gerhardus, Jakob Runge
2024	J	`jnl`	Causal discovery with endogenous context variables. CoRR Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel, Urmi Ninad, Andreas Gerhardus, Jakob Runge
2024	—	`conf`	Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions. CLeaR Simon Bing, Urmi Ninad, Jonas Wahl, Jakob Runge
2024	J	`jnl`	Invariance & Causal Representation Learning: Prospects and Limitations. Trans. Mach. Learn. Res. Simon Bing, Tom Hochsprung, Jonas Wahl, Urmi Ninad, Jakob Runge
2023	A	`conf`	Causal Discovery for time series from multiple datasets with latent contexts. UAI Wiebke Günther, Urmi Ninad, Jakob Runge
2023	J	`jnl`	Discovering Causal Relations and Equations from Data. CoRR Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge
2023	J	`jnl`	Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions. CoRR Simon Bing, Urmi Ninad, Jonas Wahl, Jakob Runge
2023	A	`conf`	Increasing effect sizes of pairwise conditional independence tests between random vectors. UAI Tom Hochsprung, Jonas Wahl, Andreas Gerhardus, Urmi Ninad, Jakob Runge
2023	J	`jnl`	Invariance & Causal Representation Learning: Prospects and Limitations. CoRR Simon Bing, Jonas Wahl, Urmi Ninad, Jakob Runge
2023	J	`jnl`	Projecting infinite time series graphs to finite marginal graphs using number theory. CoRR Andreas Gerhardus, Jonas Wahl, Sofia Faltenbacher, Urmi Ninad, Jakob Runge
2023	A*	`conf`	Vector Causal Inference between Two Groups of Variables. AAAI Jonas Wahl, Urmi Ninad, Jakob Runge
2022	A*	`conf`	Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery. NeurIPS Wiebke Günther, Urmi Ninad, Jonas Wahl, Jakob Runge