| 2025 | GECCO | Diversity in Reinforcement Learning Through the Occupancy Measure. | Arno Feiden, Jochen Garcke |
| 2024 | GECCO | Generalizing Diversity with the Signature Transform. | Arno Feiden, Biagio Paparella, Jochen Garcke |
| 2024 | ICRA | Learning Crowd Behaviors in Navigation with Attention-based Spatial-Temporal Graphs. | Yanying Zhou, Jochen Garcke |
| 2023 | GECCO | Overcoming Deceptive Rewards with Quality-Diversity. | Arno Feiden, Jochen Garcke |
| 2023 | ICCS | Graph Extraction for Assisting Crash Simulation Data Analysis. | Anahita Pakiman, Jochen Garcke, Axel Schumacher |
| 2023 | IJCNN | How Does Knowledge Injection Help in Informed Machine Learning? | Laura von Rden, Jochen Garcke, Christian Bauckhage |
| 2022 | GECCO | The pole balancing problem from the viewpoint of system flexibility. | Lo Franoso Dal Piccol Sotto, Sebastian Mayer, Jochen Garcke |
| 2022 | IJCNN | Canonical convolutional neural networks. | Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein, Jochen Garcke |
| 2022 | WACV | Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes. | Sara Hahner, Jochen Garcke |
| 2021 | AISTATS | Adaptive wavelet pooling for convolutional neural networks. | Moritz Wolter, Jochen Garcke |
| 2020 | ECAI | A Compact Spectral Descriptor for Shape Deformations. | Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt |
| 2020 | ICANN | Analysis and Prediction of Deforming 3D Shapes Using Oriented Bounding Boxes and LSTM Autoencoders. | Sara Hahner, Rodrigo Iza-Teran, Jochen Garcke |
| 2020 | IDA | Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. | Laura von Rden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke |
| 2014 | GI | Data Analytics for Simulation Repositories in Industry. | Rodrigo Iza-Teran, Jochen Garcke |
| 2013 | ACML | Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift. | Thomas Vanck, Jochen Garcke |
| 2013 | ICCS | Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods. | Bastian Bohn, Jochen Garcke, Rodrigo Iza-Teran, Alexander Paprotny, Benjamin Peherstorfer, Ulf Schepsmeier, Clemens-August Thole |
| 2009 | HPSC | A Dimension Adaptive Combination Technique Using Localised Adaptation Criteria. | Jochen Garcke |
| 2006 | HPSC | Fitting Multidimensional Data Using Gradient Penalties and Combination Techniques. | Jochen Garcke, Markus Hegland |
| 2006 | ICML | Regression with the optimised combination technique. | Jochen Garcke |
| 2003 | ICCS | Parallelisation of Sparse Grids for Large Scale Data Analysis. | Jochen Garcke, Markus Hegland, Ole Mller Nielsen |
| 2001 | KDD | Data mining with sparse grids using simplicial basis functions. | Jochen Garcke, Michael Griebel |