Stefan Lüdtke

According to our database, Stefan Lüdtke authored at least 44 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explaining neural networks without access to training data.

Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt

Mach. Learn., June, 2024

SYMPOL: Symbolic Tree-Based On-Policy Reinforcement Learning.

Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

CoRR, 2024

Rule Confidence Aggregation for Knowledge Graph Completion.

Patrick Betz, Stefan Lüdtke, Christian Meilicke, Heiner Stuckenschmidt

Proceedings of the Rules and Reasoning, 2024

A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data.

Andrej Tschalzev, Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods.

Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data.

Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent.

Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GRANDE: Gradient-Based Decision Tree Ensembles.

Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

CoRR, 2023

On the Aggregation of Rules for Knowledge Graph Completion.

Patrick Betz, Stefan Lüdtke, Christian Meilicke, Heiner Stuckenschmidt

CoRR, 2023

Towards Machine Learning-based Fish Stock Assessment.

Stefan Lüdtke, Maria E. Pierce

CoRR, 2023

Learning Decision Trees with Gradient Descent.

Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

CoRR, 2023

Leveraging Planning Landmarks for Hybrid Online Goal Recognition.

Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

CoRR, 2023

Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition.

Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Heiner Stuckenschmidt

CoRR, 2023

Outlying Aspect Mining via Sum-Product Networks.

Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Online Random Feature Forests for Learning in Varying Feature Spaces.

Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Context-Aware Human Activity Recognition in Industrial Processes.

Friedrich Niemann, Stefan Lüdtke, Christian Bartelt, Michael ten Hompel

Sensors, 2022

Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition.

Maximilian Popko, Sebastian Bader, Stefan Lüdtke, Thomas Kirste

CoRR, 2022

Outlier Explanation via Sum-Product Networks.

Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

CoRR, 2022

Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs.

Timon Felske, Stefan Lüdtke, Sebastian Bader, Thomas Kirste

CoRR, 2022

Discovering Behavioural Predispositions in Data to Improve Human Activity Recognition.

Maximilian Popko, Sebastian Bader, Stefan Lüdtke, Thomas Kirste

Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence, 2022

Exchangeability-Aware Sum-Product Networks.

Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Self-learning Governance of Black-Box Multi-Agent Systems.

Michael Oesterle, Christian Bartelt, Stefan Lüdtke, Heiner Stuckenschmidt

Proceedings of the Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV, 2022

2021

Human Activity Recognition using Attribute-Based Neural Networks and Context Information.

Stefan Lüdtke, Fernando Moya Rueda, Waqas Ahmed, Gernot A. Fink, Thomas Kirste

CoRR, 2021

2020

Lifted Bayesian filtering in multi-entity systems

Stefan Lüdtke

PhD thesis, 2020

Lifted Bayesian Filtering in Multiset Rewriting Systems.

Stefan Lüdtke, Thomas Kirste

J. Artif. Intell. Res., 2020

Measuring motion behavior to detect spatial disorientation in a VR environment.

Stefan Lüdtke, Chimezie O. Amaefule, Thomas Kirste, Stefan J. Teipel

Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging.

Stefan Lüdtke, Marcel Gehrke, Tanya Braun, Ralf Möller, Thomas Kirste

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Analysing Cooking Behaviour in Home Settings: Towards Health Monitoring.

Kristina Y. Yordanova, Stefan Lüdtke, Samuel Whitehouse, Frank Krüger, Adeline Paiement, Majid Mirmehdi, Ian Craddock, Thomas Kirste

Sensors, 2019

On the Applicability of Probabilistic Programming Languages for Causal Activity Recognition.

Stefan Lüdtke, Maximilian Popko, Thomas Kirste

Künstliche Intell., 2019

Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition.

Fernando Moya Rueda, Stefan Lüdtke, Max Schröder, Kristina Y. Yordanova, Thomas Kirste, Gernot A. Fink

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Human Activity and Context Recognition using Lifted Marginal Filtering.

Stefan Lüdtke, Kristina Y. Yordanova, Thomas Kirste

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Gaussian Lifted Marginal Filtering.

Stefan Lüdtke, Alejandro Molina, Kristian Kersting, Thomas Kirste

Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019

2018

State-Space Abstractions for Probabilistic Inference: A Systematic Review.

Stefan Lüdtke, Max Schröder, Frank Krüger, Sebastian Bader, Thomas Kirste

J. Artif. Intell. Res., 2018

Flood loss estimation using 3D city models and remote sensing data.

Kai Schröter, Stefan Lüdtke, Richard Redweik, Jessica Meier, Mathias Bochow, Lutz Ross, Claus Nagel, Heidi Kreibich

Environ. Model. Softw., 2018

Evaluation of cupboard door sensors for improving activity recognition in the kitchen.

Samuel Whitehouse, Kristina Y. Yordanova, Stefan Lüdtke, Adeline Paiement, Majid Mirmehdi

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Approximate Probabilistic Parallel Multiset Rewriting Using MCMC.

Stefan Lüdtke, Max Schröder, Thomas Kirste

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Gaussian Lifted Marginal Filtering.

Stefan Lüdtke, Alejandro Molina, Thomas Kirste

Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction, 2018

Lifted Filtering via Exchangeable Decomposition.

Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems.

Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste

CoRR, 2017

LiMa: Sequential Lifted Marginal Filtering on Multiset State Descriptions.

Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Where are my colleagues?: Tracking and Counting Multiple Persons using Lifted Marginal Filtering.

Stefan Lüdtke, Max Schröder, Frank Krüger, Thomas Kirste

Proceedings of the 4th international Workshop on Sensor-based Activity Recognition and Interaction, 2017

Actigraphic Sleep Detection for Real-World Data of Healthy Young Adults and People with Alzheimer' s Disease.

Stefan Lüdtke, Albert Hein, Frank Krüger, Sebastian Bader, Thomas Kirste

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

Abstracting from Observation-Equivalent Entities in Human Behavior Modeling.

Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Calibration of Galvanometric Laser Scanners Using Statistical Learning Methods.

Stefan Lüdtke, Benjamin Wagner, Ralf Bruder, Patrick Stüber, Floris Ernst, Achim Schweikard, Tobias Wissel

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015