xRAI: Explainable Representations through AI. - Christian Bartelt; Sascha Marton; Heiner Stuckenschmidt (CoRR, 2020)

Bias Mitigation for Large Language Models using Adversarial Learning. - Jasmina S. Ernst; Sascha Marton; Jannik Brinkmann; Eduardo Vellasques; Damien Foucard; Martin Kraemer; Marian Lambert (AEQUITAS@ECAI, 2023)

Learning Decision Trees with Gradient Descent. - Sascha Marton; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2023)

GRANDE: Gradient-Based Decision Tree Ensembles. - Sascha Marton; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2023)

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

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

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

Interpreting Outliers in Time Series Data through Decoding Autoencoder. - Patrick Knab; Sascha Marton; Christian Bartelt; Robert Fuder (TempXAI@PKDD/ECML, 2024)

DSEG-LIME - Improving Image Explanation by Hierarchical Data-Driven Segmentation. - Patrick Knab; Sascha Marton; Christian Bartelt (CoRR, 2024)

SYMPOL: Symbolic Tree-Based On-Policy Reinforcement Learning. - Sascha Marton; Tim Grams; Florian Vogt; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (CoRR, 2024)

Aligning Visual and Semantic Interpretability through Visually Grounded Concept Bottleneck Models. - Patrick Knab; Katharina Prasse; Sascha Marton; Christian Bartelt; Margret Keuper (CoRR, 2024)

Explaining neural networks without access to training data. - Sascha Marton; Stefan Lüdtke; Christian Bartelt; Andrej Tschalzev; Heiner Stuckenschmidt (Mach. Learn., 2024)

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

Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory. - Sascha Marton; Moritz Schneider (CoRR, 2025)

Which LIME should I trust? Concepts, Challenges, and Solutions. - Patrick Knab; Sascha Marton; Udo Schlegel; Christian Bartelt (CoRR, 2025)