Stefan Lüdtke

60 papers A* 8A 2B 1C 1Misc 3Journal 31Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Age Prediction of Hematoma from Hyperspectral Images Using Convolutional Neural Networks. J. Imaging Arash Keshavarz, Gerald Bieber, Daniel Wulff, Carsten Babian, Stefan Lüdtke
2026	J	`jnl`	Filling the gap: Improving the spatio-temporal coverage of small pelagic fish surveys through modelling approaches. Ecol. Informatics Stefanie Haase, Clarissa Vock, Beata Schmidt, Ismael Núñez-Riboni, Stefan Lüdtke
2025	A	`conf`	Disentangling Exploration of Large Language Models by Optimal Exploitation. ECAI Tim Grams, Patrick Betz, Sascha Marton, Stefan Lüdtke, Christian Bartelt
2025	J	`jnl`	Informed, but Not Always Improved: Challenging the Benefit of Background Knowledge in GNNs. CoRR Kutalmis Coskun, Ivo Kavisanczki, Amin Mirzaei, Tom Siegl, Bjarne C. Hiller, Stefan Lüdtke, Martin Becker
2025	J	`jnl`	MCP4IFC: IFC-Based Building Design Using Large Language Models. CoRR Bharathi Kannan Nithyanantham, Tobias Sesterhenn, Ashwin Nedungadi, Sergio Peral Garijo, Janis Zenkner, Christian Bartelt, Stefan Lüdtke
2025	A*	`conf`	Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization. ICLR Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2025	J	`jnl`	Unreflected Use of Tabular Data Repositories Can Undermine Research Quality. CoRR Andrej Tschalzev, Lennart Purucker, Stefan Lüdtke, Frank Hutter, Christian Bartelt, Heiner Stuckenschmidt
2025	J	`jnl`	Where to Measure: Epistemic Uncertainty-Based Sensor Placement with ConvCNPs. CoRR Feyza Eksen, Stefan Oehmcke, Stefan Lüdtke
2024	A*	`conf`	A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data. NeurIPS Andrej Tschalzev, Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2024	J	`jnl`	A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data. CoRR Andrej Tschalzev, Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2024	—	`conf`	Domain Adaptation in Human Activity Recognition through Self-Training. UbiComp Companion Moh'd Khier Al Kfari, Stefan Lüdtke
2024	A*	`conf`	Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. IJCAI Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2024	J	`jnl`	Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. CoRR Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2024	J	`jnl`	Explaining neural networks without access to training data. Mach. Learn. Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt
2024	A*	`conf`	GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data. ICLR Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2024	A*	`conf`	GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent. AAAI Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2024	B	`conf`	Rule Confidence Aggregation for Knowledge Graph Completion. RuleML+RR Patrick Betz, Stefan Lüdtke, Christian Meilicke, Heiner Stuckenschmidt
2024	J	`jnl`	SYMPOL: Symbolic Tree-Based On-Policy Reinforcement Learning. CoRR Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2023	J	`jnl`	GRANDE: Gradient-Based Decision Tree Ensembles. CoRR Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2023	J	`jnl`	Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition. CoRR Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Heiner Stuckenschmidt
2023	J	`jnl`	Learning Decision Trees with Gradient Descent. CoRR Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2023	J	`jnl`	Leveraging Planning Landmarks for Hybrid Online Goal Recognition. CoRR Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2023	J	`jnl`	On the Aggregation of Rules for Knowledge Graph Completion. CoRR Patrick Betz, Stefan Lüdtke, Christian Meilicke, Heiner Stuckenschmidt
2023	A*	`conf`	Online Random Feature Forests for Learning in Varying Feature Spaces. AAAI Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2023	—	`conf`	Outlying Aspect Mining via Sum-Product Networks. PAKDD (1) Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2023	J	`jnl`	Towards Machine Learning-based Fish Stock Assessment. CoRR Stefan Lüdtke, Maria E. Pierce
2023	—	`conf`	eDEM-CONNECT: An Ontology-Based Chatbot for Family Caregivers of People with Dementia. MobiHealth Maurice Boiting, Niklas Tschorn, Sumaiya Suravee, Kristina Yordanova, Margareta Halek, Franziska A. Jagoda, Stefan Lüdtke, Anja Burmann
2022	J	`jnl`	Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs. CoRR Timon Felske, Stefan Lüdtke, Sebastian Bader, Thomas Kirste
2022	J	`jnl`	Context-Aware Human Activity Recognition in Industrial Processes. Sensors Friedrich Niemann, Stefan Lüdtke, Christian Bartelt, Michael ten Hompel
2022	J	`jnl`	Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition. CoRR Maximilian Popko, Sebastian Bader, Stefan Lüdtke, Thomas Kirste
2022	—	`conf`	Discovering Behavioural Predispositions in Data to Improve Human Activity Recognition. iWOAR Maximilian Popko, Sebastian Bader, Stefan Lüdtke, Thomas Kirste
2022	A*	`conf`	Exchangeability-Aware Sum-Product Networks. IJCAI Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2022	J	`jnl`	Explaining Neural Networks without Access to Training Data. CoRR Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt
2022	J	`jnl`	Outlier Explanation via Sum-Product Networks. CoRR Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2022	C	`conf`	Self-learning Governance of Black-Box Multi-Agent Systems. COINE Michael Oesterle, Christian Bartelt, Stefan Lüdtke, Heiner Stuckenschmidt
2021	J	`jnl`	Exchangeability-Aware Sum-Product Networks. CoRR Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2021	J	`jnl`	Human Activity Recognition using Attribute-Based Neural Networks and Context Information. CoRR Stefan Lüdtke, Fernando Moya Rueda, Waqas Ahmed, Gernot A. Fink, Thomas Kirste
2020	J	`jnl`	Lifted Bayesian Filtering in Multiset Rewriting Systems. J. Artif. Intell. Res. Stefan Lüdtke, Thomas Kirste
2020	—	`—`	Lifted Bayesian filtering in multi-entity systems Stefan Lüdtke
2020	A	`conf`	Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging. ECAI Stefan Lüdtke, Marcel Gehrke, Tanya Braun, Ralf Möller, Thomas Kirste
2020	—	`conf`	Measuring motion behavior to detect spatial disorientation in a VR environment. PETRA Stefan Lüdtke, Chimezie O. Amaefule, Thomas Kirste, Stefan J. Teipel
2019	J	`jnl`	Analysing Cooking Behaviour in Home Settings: Towards Health Monitoring. Sensors Kristina Y. Yordanova, Stefan Lüdtke, Samuel Whitehouse, Frank Krüger, Adeline Paiement, Majid Mirmehdi, Ian Craddock, Thomas Kirste
2019	—	`conf`	Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition. PerCom Workshops Fernando Moya Rueda, Stefan Lüdtke, Max Schröder, Kristina Y. Yordanova, Thomas Kirste, Gernot A. Fink
2019	Misc	`conf`	Gaussian Lifted Marginal Filtering. KI Stefan Lüdtke, Alejandro Molina, Kristian Kersting, Thomas Kirste
2019	—	`conf`	Human Activity and Context Recognition using Lifted Marginal Filtering. PerCom Workshops Stefan Lüdtke, Kristina Y. Yordanova, Thomas Kirste
2019	J	`jnl`	On the Applicability of Probabilistic Programming Languages for Causal Activity Recognition. Künstliche Intell. Stefan Lüdtke, Maximilian Popko, Thomas Kirste
2018	Misc	`conf`	Approximate Probabilistic Parallel Multiset Rewriting Using MCMC. KI Stefan Lüdtke, Max Schröder, Thomas Kirste
2018	—	`conf`	Evaluation of cupboard door sensors for improving activity recognition in the kitchen. PerCom Workshops Samuel Whitehouse, Kristina Y. Yordanova, Stefan Lüdtke, Adeline Paiement, Majid Mirmehdi
2018	J	`jnl`	Flood loss estimation using 3D city models and remote sensing data. Environ. Model. Softw. Kai Schröter, Stefan Lüdtke, Richard Redweik, Jessica Meier, Mathias Bochow, Lutz Ross, Claus Nagel, Heidi Kreibich
2018	—	`conf`	Gaussian Lifted Marginal Filtering. iWOAR Stefan Lüdtke, Alejandro Molina, Thomas Kirste
2018	A*	`conf`	Lifted Filtering via Exchangeable Decomposition. IJCAI Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste
2018	J	`jnl`	Lifted Filtering via Exchangeable Decomposition. CoRR Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste
2018	J	`jnl`	State-Space Abstractions for Probabilistic Inference: A Systematic Review. CoRR Stefan Lüdtke, Max Schröder, Frank Krüger, Sebastian Bader, Thomas Kirste
2018	J	`jnl`	State-Space Abstractions for Probabilistic Inference: A Systematic Review. J. Artif. Intell. Res. Stefan Lüdtke, Max Schröder, Frank Krüger, Sebastian Bader, Thomas Kirste
2017	—	`conf`	Abstracting from Observation-Equivalent Entities in Human Behavior Modeling. AAAI Workshops Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste
2017	—	`conf`	Actigraphic Sleep Detection for Real-World Data of Healthy Young Adults and People with Alzheimer' s Disease. BIOSIGNALS Stefan Lüdtke, Albert Hein, Frank Krüger, Sebastian Bader, Thomas Kirste
2017	Misc	`conf`	LiMa: Sequential Lifted Marginal Filtering on Multiset State Descriptions. KI Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste
2017	J	`jnl`	Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems. CoRR Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste
2017	—	`conf`	Where are my colleagues?: Tracking and Counting Multiple Persons using Lifted Marginal Filtering. iWOAR Stefan Lüdtke, Max Schröder, Frank Krüger, Thomas Kirste
2015	—	`conf`	Calibration of Galvanometric Laser Scanners Using Statistical Learning Methods. Bildverarbeitung für die Medizin Stefan Lüdtke, Benjamin Wagner, Ralf Bruder, Patrick Stüber, Floris Ernst, Achim Schweikard, Tobias Wissel