Tammo Rukat

17 papers A* 3A 1B 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2023 A conf
Variational Boosted Soft Trees.
AISTATS
Tristan Cinquin, Tammo Rukat, Philipp Schmidt, Martin Wistuba, Artur Bekasov
2023 J jnl
Variational Boosted Soft Trees.
CoRR
Tristan Cinquin, Tammo Rukat, Philipp Schmidt, Martin Wistuba, Artur Bekasov
2021 J jnl
Automated Data Validation in Machine Learning Systems.
IEEE Data Eng. Bull.
Felix Biessmann, Jacek Golebiowski, Tammo Rukat, Dustin Lange, Philipp Schmidt
2021 B conf
JENGA - A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models.
EDBT
Sebastian Schelter, Tammo Rukat, Felix Biessmann
2020 — conf
Learning to Validate the Predictions of Black Box Classifiers on Unseen Data.
SIGMOD Conference
Sebastian Schelter, Tammo Rukat, Felix Bießmann
2019 J jnl
Bayesian Nonparametric Boolean Factor Models.
CoRR
Tammo Rukat, Christopher Yau
2019 J jnl
DataWig: Missing Value Imputation for Tables.
J. Mach. Learn. Res.
Felix Bießmann, Tammo Rukat, Philipp Schmidt, Prathik Naidu, Sebastian Schelter, Andrey Taptunov, Dustin Lange, David Salinas
2019 A* conf
Differential Data Quality Verification on Partitioned Data.
ICDE
Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kießling, Andrey Taptunov, Felix Bießmann, Dustin Lange
2019 — conf
Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data.
HILDA@SIGMOD
Sergey Redyuk, Sebastian Schelter, Tammo Rukat, Volker Markl, Felix Bießmann
2019 — conf
Unit Testing Data with Deequ.
SIGMOD Conference
Sebastian Schelter, Felix Bießmann, Dustin Lange, Tammo Rukat, Philipp Schmidt, Stephan Seufert, Pierre Brunelle, Andrey Taptunov
2018 — —
Logical factorisation machines: probabilistic Boolean factor models for binary data.
Tammo Rukat
2018 A* conf
Probabilistic Boolean Tensor Decomposition.
ICML
Tammo Rukat, Christopher C. Holmes, Christopher Yau
2018 J jnl
TensOrMachine: Probabilistic Boolean Tensor Decomposition.
CoRR
Tammo Rukat, Christopher C. Holmes, Christopher Yau
2017 J jnl
An interpretable latent variable model for attribute applicability in the Amazon catalogue.
CoRR
Tammo Rukat, Dustin Lange, Cédric Archambeau
2017 A* conf
Bayesian Boolean Matrix Factorisation.
ICML
Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau
2017 J jnl
Bayesian Boolean Matrix Factorisation.
CoRR
Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau
2017 J jnl
Ten simple rules for surviving an interdisciplinary PhD.
PLoS Comput. Biol.
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