Lüdtke, Stefan

14 publications

ICLRW 2025 Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory Sascha Marton, Moritz Schneider, Jannik Brinkmann, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

ICLR 2025 Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

ICLRW 2025 Unreflected Use of Tabular Data Repositories Can Undermine Research Quality Andrej Tschalzev, Lennart Purucker, Stefan Lüdtke, Frank Hutter, Christian Bartelt, Heiner Stuckenschmidt

NeurIPS 2024 A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data Andrej Tschalzev, Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

IJCAI 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

MLJ 2024 Explaining Neural Networks Without Access to Training Data Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt

ICLR 2024 GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

AAAI 2024 GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

NeurIPSW 2023 GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

AAAI 2023 Online Random Feature Forests for Learning in Varying Feature Spaces Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

IJCAI 2022 Exchangeability-Aware Sum-Product Networks Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

JAIR 2020 Lifted Bayesian Filtering in Multiset Rewriting Systems Stefan Lüdtke, Thomas Kirste

IJCAI 2018 Lifted Filtering via Exchangeable Decomposition Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste

JAIR 2018 State-Space Abstractions for Probabilistic Inference: A Systematic Review Stefan Lüdtke, Max Schröder, Frank Krüger, Sebastian Bader, Thomas Kirste