Urmi Ninad

According to our database1, Urmi Ninad authored at least 8 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions.
Proceedings of the Causal Learning and Reasoning, 2024

2023
Invariance & Causal Representation Learning: Prospects and Limitations.
CoRR, 2023

Projecting infinite time series graphs to finite marginal graphs using number theory.
CoRR, 2023

Discovering Causal Relations and Equations from Data.
CoRR, 2023

Increasing effect sizes of pairwise conditional independence tests between random vectors.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Causal Discovery for time series from multiple datasets with latent contexts.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Vector Causal Inference between Two Groups of Variables.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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