Diego Mesquita

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 15

Top Topics

Bayesian Analysis

Top Venues

IEEE Signal Process. Lett.

Publications

Yuling Yao, Luiz Max Carvalho, Diego Mesquita, Yann McLatchie
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition. CoRR (2023)
Tiago da Silva, Eliezer Silva, Adèle H. Ribeiro, António Góis, Dominik Heider, Samuel Kaski, Diego Mesquita
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets. CoRR (2023)
Daniel Augusto de Souza, Alexander Nikitin, ST John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João Paulo Pordeus Gomes, Diego Mesquita, César C. Lincoln Mattos
Thin and deep Gaussian processes. NeurIPS (2023)
Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João P. P. Gomes, Diego Mesquita, César Lincoln C. Mattos
Thin and Deep Gaussian Processes. CoRR (2023)
Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri A. Souza
Distill n' Explain: explaining graph neural networks using simple surrogates. AISTATS (2023)
Tamara A. Pereira, Erik Nasciment, Lucas E. Resck, Diego Mesquita, Amauri H. Souza
Distill n' Explain: explaining graph neural networks using simple surrogates. CoRR (2023)
Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
Parallel MCMC Without Embarrassing Failures. CoRR (2022)
Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
Provably expressive temporal graph networks. CoRR (2022)
Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
Parallel MCMC Without Embarrassing Failures. AISTATS (2022)
Alisson S. C. Alencar, César L. C. Mattos, João P. P. Gomes, Diego Mesquita
Bayesian Multilateration. IEEE Signal Process. Lett. 29 (2022)
Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
Provably expressive temporal graph networks. NeurIPS (2022)
Renan Gomes Vieira, Diego Mesquita, César Lincoln C. Mattos, Ricardo Britto, Lincoln S. Rocha, João Gomes
Bayesian Analysis of Bug-Fixing Time using Report Data. ESEM (2022)
Tamara A. Pereira, Erik Jhones F. do Nascimento, Diego Mesquita, Amauri H. Souza
ConveXplainer for Graph Neural Networks. BRACIS (2) (2022)
Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski
Federated stochastic gradient Langevin dynamics. UAI (2021)
Erik Jhones F. do Nascimento, Amauri H. Souza, Diego Mesquita
Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions. ESANN (2021)