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Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  3. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

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Dive into the research topics where Niki Kilbertus is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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  • Cluster-Dags as Powerful Background Knowledge For Causal Discovery

    Ruiz de Vargas, J. M., Padh, K. & Kilbertus, N., May 2026, In: Transactions on Machine Learning Research. 2026-May

    Research output: Contribution to journalArticlepeer-review

  • Fairness under uncertainty in sequential decisions

    Lee, M. S. A., Padh, K., Watson, D., Kilbertus, N. & Singh, J., 25 Jun 2026, ACM FAccT 2026 - Proceedings of the 9th annual ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery, Inc, p. 1784-1809 26 p. (ACM FAccT 2026 - Proceedings of the 9th annual ACM Conference on Fairness, Accountability, and Transparency).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • An Asymmetric Independence Model for Causal Discovery on Path Spaces

    Manten, G., Casolo, C., Mogensen, S. W. & Kilbertus, N., 2025, In: Proceedings of Machine Learning Research. 275, p. 64-89 26 p.

    Research output: Contribution to journalConference articlepeer-review

  • Biases in machine-learning models of human single-cell data

    Willem, T., Shitov, V. A., Luecken, M. D., Kilbertus, N., Bauer, S., Piraud, M., Buyx, A. & Theis, F. J., Mar 2025, In: Nature Cell Biology. 27, 3, p. 384-392 9 p., eabf3041.

    Research output: Contribution to journalArticlepeer-review

    6 Scopus citations
  • Generative Intervention Models for Causal Perturbation Modeling

    Schneider, N., Lorch, L., Kilbertus, N., Schölkopf, B. & Krause, A., 2025, In: Proceedings of Machine Learning Research. 267, p. 53388-53412 25 p.

    Research output: Contribution to journalConference articlepeer-review