| Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs C Schmidt, J Huegle, M Uflacker Proceedings of the 30th International Conference on Scientific and …, 2018 | 20 | 2018 |
| How causal structural knowledge adds decision-support in monitoring of automotive body shop assembly lines J Huegle, C Hagedorn, M Uflacker Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 14 | 2021 |
| GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data C Hagedorn, J Huegle Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 14 | 2021 |
| GPU Acceleration for Information-theoretic Constraint-based Causal Discovery C Hagedorn, C Lange, J Huegle, R Schlosser The KDD'22 Workshop on Causal Discovery, 30-60, 2022 | 11 | 2022 |
| Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning C Hagedorn, J Huegle, R Schlosser Journal of Intelligent Manufacturing 33 (7), 2027-2043, 2022 | 10 | 2022 |
| MPCSL-A Modular Pipeline for Causal Structure Learning J Huegle, C Hagedorn, M Perscheid, H Plattner Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 8 | 2021 |
| MANM-CS: Data generation for benchmarking causal structure learning from mixed discrete-continuous and nonlinear data J Huegle, C Hagedorn, L Böhme, M Pörschke, J Umland, R Schlosser WHY-21 at NeurIPS, 2021 | 7 | 2021 |
| Load-balanced parallel constraint-based causal structure learning on multi-core systems for high-dimensional data C Schmidt, J Huegle, P Bode, M Uflacker The 2019 ACM SIGKDD Workshop on Causal Discovery, 59-77, 2019 | 7 | 2019 |
| Out-of-core GPU-accelerated causal structure learning C Schmidt, J Huegle, S Horschig, M Uflacker Algorithms and Architectures for Parallel Processing: 19th International …, 2020 | 4 | 2020 |
| Efficient Calculation and Simulation of Product Cost Leveraging In-Memory Technology and Coprocessors C Schwarz, C Schmidt, M Hopstock, W Sinzig, H Plattner The Sixth International Conference on Business Intelligence and Technology …, 2016 | 4 | 2016 |
| Constraint-Based Causal Structure Learning in Multi-GPU Environments. C Hagedorn, J Huegle LWDA, 106-118, 2021 | 3 | 2021 |
| A case for hardware-supported sub-cache line accesses C Schmidt, M Dreseler, B Akin, A Roy Proceedings of the 14th International Workshop on Data Management on New …, 2018 | 3 | 2018 |
| Towards a GPU-Accelerated Causal Inference C Schmidt, J Huegle HPI Future SOC Lab: Proceedings 2017 130, 187, 2019 | 2 | 2019 |
| GPUCSL: GPU-Based Library for Causal Structure Learning T Braun, B Hurdelhey, D Meier, P Tsayun, C Hagedorn, J Huegle, ... 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1236-1239, 2022 | 1 | 2022 |
| Unterstützte Fehlerbehebung durch kausales Strukturwissen in Überwachungssystemen der Automobilfertigung. J Huegle, C Hagedorn, M Uflacker Software Engineering (Satellite Events), 2021 | 1 | 2021 |
| Workload-Driven Data Placement for GPU-Accelerated Database Management Systems C Schmidt, M Uflacker BTW 2019–Workshopband, 2019 | 1 | 2019 |
| Interactive Product Cost Simulation on Coprocessors C Schwarz, C Schmidt HPI Future SOC Lab: Proceedings 2015, 103, 0 | | |
