Diego Parente Paiva Mesquita

Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...

Tutkimusryhmät

  • Professorship Kaski Samuel, Doctoral Researcher
  • Professorship Kaski Samuel, Visitor (Faculty)

Julkaisut

Generalization and Distributed Learning of GFlowNets

Tiago da Silva, Amauri Souza, Omar Rivasplata, Vikas Garg, Samuel Kaski, Diego Mesquita 2025 13th International Conference on Learning Representations, ICLR 2025

When do GFlowNets learn the right distribution?

Tiago da Silva, Rodrigo Barreto Alves, Eliezer de Souza da Silva, Amauri Souza, Vikas Garg, Samuel Kaski, Diego Mesquita 2025 13th International Conference on Learning Representations, ICLR 2025

Embarrassingly Parallel GFlowNets

Tiago da Silva, Luis Max Carvalho, Amauri Souza, Samuel Kaski, Diego Mesquita 2024 Proceedings of the 41st International Conference on Machine Learning

Thin and deep Gaussian processes

Daniel Augusto de Souza, Alexander Nikitin, Ti John, Magnus Ross, Mauricio A. Alvarez, Marc Peter Deisenroth, Joao Paulo Pordeus Gomes, Diego Parente Paiva Mesquita, Cesar Lincoln Mattos 2024 Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023

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