Sascha Marton

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Binary Partition Tree

Learning Models

Decision Tree Ensembles

Training Patterns

Top Venues

Publications

Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt
Explaining neural networks without access to training data. Mach. Learn. 113 (6) (2024)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent. AAAI (2024)
Andrej Tschalzev, Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data. CoRR (2024)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data. ICLR (2024)
Patrick Knab, Sascha Marton, Christian Bartelt
DSEG-LIME - Improving Image Explanation by Hierarchical Data-Driven Segmentation. CoRR (2024)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
GRANDE: Gradient-Based Decision Tree Ensembles. CoRR (2023)
Jasmina S. Ernst, Sascha Marton, Jannik Brinkmann, Eduardo Vellasques, Damien Foucard, Martin Kraemer, Marian Lambert
Bias Mitigation for Large Language Models using Adversarial Learning. AEQUITAS@ECAI (2023)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Learning Decision Trees with Gradient Descent. CoRR (2023)
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt
Explaining Neural Networks without Access to Training Data. CoRR (2022)
Christian Bartelt, Sascha Marton, Heiner Stuckenschmidt
xRAI: Explainable Representations through AI. CoRR (2020)