Research output per year
Research output per year
Personal profile
Education/Academic qualification
Tekn. toht., tietotekniikka
Award Date: 16 Dec 2021
Bacharel em Computacao, Republica Federativa do Brasil Ministerio da Educacao
Award Date: 23 Aug 2016
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Dive into the research topics where Diego Parente Paiva Mesquita 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Embarrassingly Parallel GFlowNets
da Silva, T., Carvalho, L. M., Souza, A., Kaski, S. & Mesquita, D., 2024, Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). JMLR, p. 45406-45431 (Proceedings of Machine Learning Research; vol. 235).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
Thin and deep Gaussian processes
de Souza, D. A., Nikitin, A., John, T., Ross, M., Alvarez, M. A., Deisenroth, M. P., Pordeus Gomes, J. P., Parente Paiva Mesquita, D. & Mattos, C. L., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., 11 p. (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
Bayesian Multilateration
Sampaio de Carvalho Alencar, A., Mattos, C., Pordeus Gomes, J. P. & Mesquita, D., 2022, In: IEEE Signal Processing Letters. 29, p. 962-966Research output: Contribution to journal › Article › Scientific › peer-review
4 Citations (Scopus) -
Parallel MCMC Without Embarrassing Failures
Augusto de Souza, D., Parente Paiva Mesquita, D., Kaski, S. & Acerbi, L., 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. JMLR, p. 1786-1804 (Proceedings of Machine Learning Research; vol. 151).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile33 Downloads (Pure) -
Provably expressive temporal graph networks
Souza, A. H., Mesquita, D., Kaski, S. & Garg, V., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 13 p. (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access