Christopher Hagedorn

According to our database, Christopher Hagedorn authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Parallel execution of causal structure learning on graphics processing units.

Christopher Hagedorn

PhD thesis, 2023

A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery.

Johannes Huegle, Christopher Hagedorn, Rainer Schlosser

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning.

Christopher Hagedorn, Johannes Huegle, Rainer Schlosser

J. Intell. Manuf., 2022

GPU Acceleration for Information-theoretic Constraint-based Causal Discovery.

Christopher Hagedorn, Constantin Lange, Johannes Huegle, Rainer Schlosser

Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022

GPUCSL: GPU-Based Library for Causal Structure Learning.

Tom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Unterstützte Fehlerbehebung durch kausales Strukturwissen in Überwachungssystemen der Automobilfertigung.

Johannes Huegle, Christopher Hagedorn, Matthias Uflacker

Proceedings of the Software Engineering 2021 Satellite Events, Braunschweig/Virtual, Germany, February 22, 2021

GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data.

Christopher Hagedorn, Johannes Huegle

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Constraint-Based Causal Structure Learning in Multi-GPU Environments.

Christopher Hagedorn, Johannes Huegle

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

MPCSL - A Modular Pipeline for Causal Structure Learning.

Johannes Huegle, Christopher Hagedorn, Michael Perscheid, Hasso Plattner

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines.

Johannes Huegle, Christopher Hagedorn, Matthias Uflacker

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020