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11/24/2022
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery
Inferring causal structure from data is a challenging task of fundamenta...
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10/26/2021
Non-Gaussian Gaussian Processes for Few-Shot Regression
Gaussian Processes (GPs) have been widely used in machine learning to mo...
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10/07/2021
On the relationship between disentanglement and multi-task learning
One of the main arguments behind studying disentangled representations i...
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06/22/2020
Neural networks adapting to datasets: learning network size and topology
We introduce a flexible setup allowing for a neural network to learn bot...
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02/19/2020
Neural Networks on Random Graphs
We performed a massive evaluation of neural networks with architectures ...
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01/13/2020
WICA: nonlinear weighted ICA
Independent Component Analysis (ICA) aims to find a coordinate system in...
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04/06/2019
Interpolation in generative models
We show how to construct smooth and realistic interpolations for generat...
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03/01/2019
Non-linear ICA based on Cramer-Wold metric
Non-linear source separation is a challenging open problem with many app...
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10/03/2018