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Diego Parente Paiva Mesquita

    20192021

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    • 2021

      Learning GPLVM with arbitrary kernels using the unscented transformation

      de Souza, D. A., Mesquita, D., Mattos, C. L. & Gomes, J. P., 2021, 24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS). Banerjee, A. & Fukumizu, K. (eds.). MICROTOME PUBLISHING, 10 p. (Proceedings of Machine Learning Research; vol. 130).

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

      Open Access
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    • 2020

      Rethinking pooling in graph neural networks

      Mesquita, D., Souza, A. & Kaski, S., 2020, Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020). (Advances in neural information processing systems; vol. 33).

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

      Open Access
      File
      19 Downloads (Pure)
    • 2019

      Embarrassingly parallel MCMC using deep invertible transformations

      Mesquita, D., Blomstedt, P. & Kaski, S., 2019, Proceedings of The 35th Uncertainty in Artificial Intelligence Conference. (Proceedings of Machine Learning Research ; vol. 115).

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

      Open Access
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      14 Downloads (Pure)
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