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11/25/2021
Learning Conditional Invariance through Cycle Consistency
Identifying meaningful and independent factors of variation in a dataset...
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02/07/2020
Inverse Learning of Symmetry Transformations
Symmetry transformations induce invariances and are a crucial building b...
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12/31/2019
On the Difference Between the Information Bottleneck and the Deep Information Bottleneck
Combining the Information Bottleneck model with deep learning by replaci...
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11/19/2018
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Computer vision tasks are difficult because of the large variability in ...
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04/17/2018
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
Deep latent variable models are powerful tools for representation learni...
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11/01/2016
Causal Compression
We propose a new method of discovering causal relationships in temporal ...
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10/06/2015