Tammo Rukat

According to our database, Tammo Rukat authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Variational Boosted Soft Trees.

Tristan Cinquin, Tammo Rukat, Philipp Schmidt, Martin Wistuba, Artur Bekasov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Automated Data Validation in Machine Learning Systems.

Felix Biessmann, Jacek Golebiowski, Tammo Rukat, Dustin Lange, Philipp Schmidt

IEEE Data Eng. Bull., 2021

JENGA - A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models.

Sebastian Schelter, Tammo Rukat, Felix Biessmann

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

Learning to Validate the Predictions of Black Box Classifiers on Unseen Data.

Sebastian Schelter, Tammo Rukat, Felix Bießmann

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

DataWig: Missing Value Imputation for Tables.

Felix Bießmann, Tammo Rukat, Philipp Schmidt, Prathik Naidu, Sebastian Schelter, Andrey Taptunov, Dustin Lange, David Salinas

J. Mach. Learn. Res., 2019

Bayesian Nonparametric Boolean Factor Models.

Tammo Rukat, Christopher Yau

CoRR, 2019

Unit Testing Data with Deequ.

Sebastian Schelter, Felix Bießmann, Dustin Lange, Tammo Rukat, Philipp Schmidt, Stephan Seufert, Pierre Brunelle, Andrey Taptunov

Proceedings of the 2019 International Conference on Management of Data, 2019

Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data.

Sergey Redyuk, Sebastian Schelter, Tammo Rukat, Volker Markl, Felix Bießmann

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2019

Differential Data Quality Verification on Partitioned Data.

Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kießling, Andrey Taptunov, Felix Bießmann, Dustin Lange

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Logical factorisation machines: probabilistic Boolean factor models for binary data.

Tammo Rukat

PhD thesis, 2018

TensOrMachine: Probabilistic Boolean Tensor Decomposition.

Tammo Rukat, Christopher C. Holmes, Christopher Yau

CoRR, 2018

Probabilistic Boolean Tensor Decomposition.

Tammo Rukat, Christopher C. Holmes, Christopher Yau

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Ten simple rules for surviving an interdisciplinary PhD.

Samuel Demharter, Nicholas Pearce, Kylie Beattie, Isabel Frost, Jinwoo Leem, Alistair Martin, Robert Oppenheimer, Cristian Regep, Tammo Rukat, Alexander Skates, Nicola Trendel, David J. Gavaghan, Charlotte M. Deane, Bernhard Knapp

PLoS Comput. Biol., 2017

An interpretable latent variable model for attribute applicability in the Amazon catalogue.

Tammo Rukat, Dustin Lange, Cédric Archambeau

CoRR, 2017

Bayesian Boolean Matrix Factorisation.

Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau

Proceedings of the 34th International Conference on Machine Learning, 2017