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10/31/2022
AI Assistants: A Framework for Semi-Automated Data Wrangling
Data wrangling tasks such as obtaining and linking data from various sou...
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09/07/2022
Inference and Learning for Generative Capsule Models
Capsule networks (see e.g. Hinton et al., 2018) aim to encode knowledge ...
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07/17/2022
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs
Data cleaning often comprises outlier detection and data repair. Systema...
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03/11/2021
Inference for Generative Capsule Models
Capsule networks (see e.g. Hinton et al., 2018) aim to encode knowledge ...
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06/09/2020
VAEs in the Presence of Missing Data
Real world datasets often contain entries with missing elements e.g. in ...
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04/27/2020
Data Engineering for Data Analytics: A Classification of the Issues, and Case Studies
Consider the situation where a data analyst wishes to carry out an analy...
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07/15/2019
Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data
We focus on the problem of unsupervised cell outlier detection in mixed ...
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11/27/2018
Wrangling Messy CSV Files by Detecting Row and Type Patterns
It is well known that data scientists spend the majority of their time o...
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07/10/2018
