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02/12/2020
Learning Flat Latent Manifolds with VAEs
Measuring the similarity between data points often requires domain knowl...
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08/23/2019
Increasing the Generalisaton Capacity of Conditional VAEs
We address the problem of one-to-many mappings in supervised learning, w...
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05/13/2019
Learning Hierarchical Priors in VAEs
We propose to learn a hierarchical prior in the context of variational a...
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12/19/2018
Fast Approximate Geodesics for Deep Generative Models
The length of the geodesic between two data points along the Riemannian ...
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08/06/2018
Active Learning based on Data Uncertainty and Model Sensitivity
Robots can rapidly acquire new skills from demonstrations. However, duri...
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11/03/2017