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09/15/2022
On the detrimental effect of invariances in the likelihood for variational inference
Variational Bayesian posterior inference often requires simplifying appr...
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06/29/2022
Intrinsic Anomaly Detection for Multi-Variate Time Series
We introduce a novel, practically relevant variation of the anomaly dete...
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10/26/2021
Deep Explicit Duration Switching Models for Time Series
Many complex time series can be effectively subdivided into distinct reg...
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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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11/11/2018
Multi-Source Neural Variational Inference
Learning from multiple sources of information is an important problem in...
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11/03/2017