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Diego Mesquita

On Divergence Measures for Training GFlowNets

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Oct 12, 2024
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Embarrassingly Parallel GFlowNets

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Jun 05, 2024
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In-n-Out: Calibrating Graph Neural Networks for Link Prediction

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Mar 08, 2024
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Thin and Deep Gaussian Processes

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Oct 17, 2023
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Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets

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Sep 21, 2023
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Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition

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May 12, 2023
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Distill n' Explain: explaining graph neural networks using simple surrogates

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Mar 17, 2023
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Provably expressive temporal graph networks

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Sep 29, 2022
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Parallel MCMC Without Embarrassing Failures

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Mar 29, 2022
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Rethinking pooling in graph neural networks

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Oct 22, 2020
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