Bartelt, Christian

17 publications

ICLRW 2025 Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models Patrick Knab, Sascha Marton, Christian Bartelt

ICML 2025 DCBM: Data-Efficient Visual Concept Bottleneck Models Katharina Prasse, Patrick Knab, Sascha Marton, Christian Bartelt, Margret Keuper

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

ICLRW 2025 Disentangling Exploration of Large Language Models by Optimal Exploitation Tim Grams, Patrick Betz, Christian Bartelt

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 Shedding Light on Task Decomposition in Program Synthesis: The Driving Force of the Synthesizer Model Janis Zenkner, Tobias Sesterhenn, Christian Bartelt

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

ICLRW 2024 Backward Chaining Circuits in a Transformer Trained on a Symbolic Reasoning Task Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt

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

ICCV 2023 A Multidimensional Analysis of Social Biases in Vision Transformers Jannik Brinkmann, Paul Swoboda, Christian Bartelt

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