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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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11/21/2022
Learnable Graph Convolutional Attention Networks
Existing Graph Neural Networks (GNNs) compute the message exchange betwe...
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06/09/2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
A number of variational autoencoders (VAEs) have recently emerged with t...
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03/03/2021
Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning
While multi-task learning (MTL) has been successfully applied in several...
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06/26/2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning
Learning expressive probabilistic models correctly describing the data i...
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02/26/2020