• Source: Scopus
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  • Inference in Probabilistic Graphical Models by Graph Neural Networks

    Yoon, K., Liao, R., Xiong, Y., Zhang, L., Fetaya, E., Urtasun, R., Zemel, R. & Pitkow, X., 2019 Nov, Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. Matthews, M. B. (ed.). IEEE Computer Society, p. 868-875 8 p. 9048920. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2019-November).

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

    4 Scopus citations
  • A Map-like Micro-Organization of Grid Cells in the Medial Entorhinal Cortex

    Gu, Y., Lewallen, S., Kinkhabwala, A. A., Domnisoru, C., Yoon, K., Gauthier, J. L., Fiete, I. R. & Tank, D. W., 2018 Oct 18, In: Cell. 175, 3, p. 736-750.e30

    Research output: Contribution to journalArticlepeer-review

    26 Scopus citations
  • Inference in probabilistic graphical models by graph neural networks

    Yoon, K. J., Liao, R., Xiong, Y., Zhang, L., Fetaya, E., Urtasun, R., Zemel, R. & Pitkow, X., 2018 Jan 1.

    Research output: Contribution to conferencePaperpeer-review

  • Inference in probabilistic graphical models by graph neural networks

    Yoon, K. J., Liao, R., Xiong, Y., Zhang, L., Fetaya, E., Urtasun, R., Zemel, R. & Pitkow, X., 2018.

    Research output: Contribution to conferencePaperpeer-review

    17 Scopus citations
  • Reviving and improving recurrent back-propagation

    Liao, R., Xiong, Y., Fetaya, E., Zhang, L., Yoon, K. J., Pitkow, X., Urtasun, R. & Zemel, R., 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 4807-4820 14 p. (35th International Conference on Machine Learning, ICML 2018; vol. 7).

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

    7 Scopus citations