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dr. P.D. (Patrick) Forré

Faculty of Science
Informatics Institute
Visiting address
  • Science Park 904
  • Room number: C3.248
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • Publications

    2019

    • Falorsi, L., de Haan, P., Davidson, T. R., & Forré, P. (2019). Reparameterizing Distributions on Lie Groups. Proceedings of Machine Learning Research, 89, 3244-3253. [details]
    • Forré, P., & Mooij, J. M. (2019). Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias. In A. Globerson, & R. Silva (Eds.), Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence: UAI 2019, Tel Aviv, Israel, July 22-25, 2019 [15] Corvallis, OR: AUAI Press. [details]
    • Patrini, G., van den Berg, R., Forré, P., Carioni, M., Bhargav, S., Welling, M., ... Nielsen, F. (2019). Sinkhorn AutoEncoders. In A. Globerson, & R. Silva (Eds.), Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence: UAI 2019, Tel Aviv, Israel, July 22-25, 2019 [253] Corvallis, OR: AUAI Press. [details]

    2018

    • Forré, P., & Mooij, J. M. (2018). Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders. In A. Globerson, & R. Silva (Eds.), Uncertainty in Artificial Intelligence: proceedings of the Thirty-Fourth Concerence (2018) : August 6-10, 2018, Monterey, California, USA (pp. 269-278). Corvallis, Oregon: AUAI Press. [details]

    2018

    • Falorsi, L., de Haan, P., Davidson, T. R., De Cao, N., Weiler, M., Forré, P., & Cohen, T. S. (2018). Explorations in Homeomorphic Variational Auto-Encoding. Paper presented at ICML18 Workshop on Theoretical Foundations and Applications
      of Deep Generative Models, Stockholm, Sweden. [details]

    • Forré, P. D., & Mooij, J. M. (2017). Markov Properties for Graphical Models with Cycles and Latent Variables.

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  • Ancillary activities
    • No ancillary activities
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