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09/20/2022
Probabilistic Dalek – Emulator framework with probabilistic prediction for supernova tomography
Supernova spectral time series can be used to reconstruct a spatially re...
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06/13/2022
Local distance preserving auto-encoders using Continuous k-Nearest Neighbours graphs
Auto-encoder models that preserve similarities in the data are a popular...
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02/23/2022
Flat latent manifolds for music improvisation between human and machine
The use of machine learning in artistic music generation leads to contro...
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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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09/09/2019
Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images
The study of dexterous manipulation has provided important insights in h...
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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
Metrics for Deep Generative Models
Neural samplers such as variational autoencoders (VAEs) or generative ad...
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11/04/2013