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06/08/2023
Causal normalizing flows: from theory to practice
In this work, we deepen on the use of normalizing flows for causal reaso...
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02/13/2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions
Recent approaches build on implicit neural representations (INRs) to pro...
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11/21/2022
Learnable Graph Convolutional Attention Networks
Existing Graph Neural Networks (GNNs) compute the message exchange betwe...
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10/27/2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries
In this paper, we introduce VACA, a novel class of variational graph aut...
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11/04/2019
Improved BiGAN training with marginal likelihood equalization
We propose a novel training procedure for improving the performance of g...
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01/28/2019
