| 2023 | KDD | Training Large-scale Foundation Models on Emerging AI Chips. | Aashiq Muhamed, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan |
| 2020 | ICML | Set Functions for Time Series. | Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt |
| 2019 | ICDM | A Wasserstein Subsequence Kernel for Time Series. | Christian Bock, Matteo Togninalli, M. Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, Karsten M. Borgwardt |
| 2019 | ICLR | Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. | Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt |
| 2019 | ICML | A Persistent Weisfeiler-Lehman Procedure for Graph Classification. | Bastian Rieck, Christian Bock, Karsten M. Borgwardt |
| 2018 | IPMU | Forecasting Energy Demand by Clustering Smart Metering Time Series. | Christian Bock |
| 2017 | EUSFLAT | Generating Load Profiles Using Smart Metering Time Series. | Christian Bock |
| 2015 | AMIA | Characterizing the Frequency of Pharmacogenomic Biomarker-Guided Prescribing for Drugs with Pharmacogenomic Biomarker information in the FDA Labelling: A Pilot Study Using Data from an Electronic Health Record. | Emily Beth Devine, Maher Khelifi, Katelyn Keyloun, Nathaniel Hendrix, Patrick Mathias, Christian Bock, Peter Tarczy-Hornoch |