Marton, Sascha

9 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

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

NeurIPS 2024 A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data Andrej Tschalzev, Sascha Marton, 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