Diego Parente Paiva Mesquita
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T313 Dept. Computer Science
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Publikationer
Parallel MCMC Without Embarrassing Failures
Daniel Augusto de Souza, Diego Parente Paiva Mesquita, Samuel Kaski, Luigi Acerbi
2022
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics
Bayesian Multilateration
Alisson Sampaio de Carvalho Alencar, Cesar Mattos, Joao Paulo Pordeus Gomes, Diego Mesquita
2022
IEEE Signal Processing Letters
Provably expressive temporal graph networks
Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
2022
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)
Learning GPLVM with arbitrary kernels using the unscented transformation
Daniel Augusto de Souza, Diego Mesquita, Cesar Lincoln Mattos, Joao Paulo Gomes
2021
24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS)
Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions
Erik Jhones F. do Nascimento, Amauri H. Souza, Diego Mesquita
2021
ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Federated Stochastic Gradient Langevin Dynamics
Khaoula El Mekkaoui, Diego Parente Paiva Mesquita, Paul Blomstedt, Samuel Kaski
2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence
Advances in distributed Bayesian inference and graph neural networks
Diego Mesquita
2021
LS-SVR as a Bayesian RBF Network
Diego P.P. Mesquita, Luis A. Freitas, Joao P.P. Gomes, Cesar L.C. Mattos
2020
IEEE Transactions on Neural Networks and Learning Systems
Rethinking pooling in graph neural networks
Diego Mesquita, Amauri Souza, Samuel Kaski
2020
Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020)
Meta-analysis of Bayesian analyses
Paul Blomstedt, Diego Mesquita, Jarno Lintusaari, Tuomas Sivula, Jukka Corander, Samuel Kaski
2019
Submitted