| 2026 | AAAI | Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis. | Nicholas Tagliapietra, Katharina Ensinger, Christoph Zimmer, Osman Mian |
| 2024 | AISTATS | Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. | Jrn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies |
| 2023 | AISTATS | Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. | Matthias Bitzer, Mona Meister, Christoph Zimmer |
| 2023 | UAI | Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. | Matthias Bitzer, Mona Meister, Christoph Zimmer |
| 2022 | AISTATS | Safe Active Learning for Multi-Output Gaussian Processes. | Cen-You Li, Barbara Rakitsch, Christoph Zimmer |
| 2020 | AISTATS | Adaptive Discretization for Evaluation of Probabilistic Cost Functions. | Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong |
| 2020 | ICML | Influenza Forecasting Framework based on Gaussian Processes. | Christoph Zimmer, Reza Yaesoubi |
| 2019 | GI | Safe Active Learning for Time-Series Modeling with Gaussian Processes. | Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong |