In this work, we deepen on the use of normalizing flows for causal reaso...
Recent approaches build on implicit neural representations (INRs) to pro...
Existing Graph Neural Networks (GNNs) compute the message exchange betwe...
In this paper, we introduce VACA, a novel class of variational graph
aut...
We propose a novel training procedure for improving the performance of
g...
We propose a new method to evaluate GANs, namely EvalGAN. EvalGAN relies...