Diego Parente Paiva Mesquita

T313 Dept. Computer Science
Full researcher profile


[email protected]


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

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