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12/02/2022
Improved Representation Learning Through Tensorized Autoencoders
The central question in representation learning is what constitutes a go...
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06/17/2022
On the Influence of Enforcing Model Identifiability on Learning dynamics of Gaussian Mixture Models
A common way to learn and analyze statistical models is to consider oper...
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12/07/2021
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
In recent years, several results in the supervised learning setting sugg...
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12/07/2021
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds
When analyzing parametric statistical models, a useful approach consists...
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10/08/2020