Sascha Marton

Orcid: 0000-0001-8151-9223

According to our database1, Sascha Marton authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Which LIME should I trust? Concepts, Challenges, and Solutions.
CoRR, March, 2025

Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory.
CoRR, February, 2025

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Explaining neural networks without access to training data.
Mach. Learn., June, 2024

Aligning Visual and Semantic Interpretability through Visually Grounded Concept Bottleneck Models.
CoRR, 2024

SYMPOL: Symbolic Tree-Based On-Policy Reinforcement Learning.
CoRR, 2024

DSEG-LIME - Improving Image Explanation by Hierarchical Data-Driven Segmentation.
CoRR, 2024

Interpreting Outliers in Time Series Data through Decoding Autoencoder.
Proceedings of the Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
GRANDE: Gradient-Based Decision Tree Ensembles.
CoRR, 2023

Learning Decision Trees with Gradient Descent.
CoRR, 2023

Bias Mitigation for Large Language Models using Adversarial Learning.
Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

2020
xRAI: Explainable Representations through AI.
CoRR, 2020


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