Stefan Ldtke
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ECAI | Disentangling Exploration of Large Language Models by Optimal Exploitation. | Tim Grams, Patrick Betz, Sascha Marton, Stefan Ldtke, Christian Bartelt |
| 2025 | ICLR | Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization. | Sascha Marton, Tim Grams, Florian Vogt, Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2024 | AAAI | GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent. | Sascha Marton, Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2024 | HIC | Domain Adaptation in Human Activity Recognition through Self-Training. | Moh'd Khier Al Kfari, Stefan Ldtke |
| 2024 | ICLR | GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data. | Sascha Marton, Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2024 | IJCAI | Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. | Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2023 | AAAI | Online Random Feature Forests for Learning in Varying Feature Spaces. | Christian Schreckenberger, Yi He, Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2023 | PAKDD | Outlying Aspect Mining via Sum-Product Networks. | Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2022 | IJCAI | Exchangeability-Aware Sum-Product Networks. | Stefan Ldtke, Christian Bartelt, Heiner Stuckenschmidt |
| 2020 | ECAI | Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging. | Stefan Ldtke, Marcel Gehrke, Tanya Braun, Ralf Mller, Thomas Kirste |
| 2019 | KI | Gaussian Lifted Marginal Filtering. | Stefan Ldtke, Alejandro Molina, Kristian Kersting, Thomas Kirste |
| 2019 | PERCOM | Human Activity and Context Recognition using Lifted Marginal Filtering. | Stefan Ldtke, Kristina Y. Yordanova, Thomas Kirste |
| 2019 | PERCOM | Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition. | Fernando Moya Rueda, Stefan Ldtke, Max Schrder, Kristina Y. Yordanova, Thomas Kirste, Gernot A. Fink |
| 2018 | IJCAI | Lifted Filtering via Exchangeable Decomposition. | Stefan Ldtke, Max Schrder, Sebastian Bader, Kristian Kersting, Thomas Kirste |
| 2018 | KI | Approximate Probabilistic Parallel Multiset Rewriting Using MCMC. | Stefan Ldtke, Max Schrder, Thomas Kirste |
| 2018 | PERCOM | Evaluation of cupboard door sensors for improving activity recognition in the kitchen. | Samuel Whitehouse, Kristina Y. Yordanova, Stefan Ldtke, Adeline Paiement, Majid Mirmehdi |
| 2017 | AAAI | Abstracting from Observation-Equivalent Entities in Human Behavior Modeling. | Max Schrder, Stefan Ldtke, Sebastian Bader, Frank Krger, Thomas Kirste |
| 2017 | KI | LiMa: Sequential Lifted Marginal Filtering on Multiset State Descriptions. | Max Schrder, Stefan Ldtke, Sebastian Bader, Frank Krger, Thomas Kirste |