Vanessa Toborek

According to our database, Vanessa Toborek authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Scientific Theory of a Black-Box: A Life Cycle-Scale XAI Framework Based on Constructive Empiricism.

Sebastian Müller, Vanessa Toborek, Eike Stadtländer, Tamás Horváth, Brendan Balcerak Jackson, Christian Bauckhage

CoRR, February, 2026

Improving Compactness and Reducing Ambiguity of CFIRE Rule-Based Explanations.

Sebastian Müller, Tobias Schneider, Ruben Kemna, Vanessa Toborek

CoRR, January, 2026

Four Quadrants of Difficulty: A Simple Categorisation and its Limits.

Vanessa Toborek, Sebastian Müller, Christian Bauckhage

CoRR, January, 2026

Four Quadrants of Difficulty: A Categorisation for Curriculum Learning in NLP.

Vanessa Toborek, Sebastian Müller, Christian Bauckhage

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

CFIRE: A General Method for Combining Local Explanations.

Sebastian Müller, Vanessa Toborek, Tamás Horváth, Christian Bauckhage

Proceedings of the Explainable Artificial Intelligence, 2025

Beyond Shallow Heuristics: Leveraging Human Intuition for Curriculum Learning.

Vanessa Toborek, Sebastian Müller, Tim Selbach, Tamás Horváth, Christian Bauckhage

Proceedings of the 8th International Conference on Natural Language and Speech Processing, 2025

Exploring Curriculum Learning for Languages: Lessons from Regular Language Tasks.

Vanessa Toborek, Florian Seiffarth, Sebastian Müller, Tamás Horváth, Christian Bauckhage

Proceedings of the Discovery Science - 28th International Conference, 2025

2023

Cup Curriculum: Curriculum Learning on Model Capacity.

Luca Scharr, Vanessa Toborek

CoRR, 2023

Harnessing Prior Knowledge for Explainable Machine Learning: An Overview.

Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning.

Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

A New Aligned Simple German Corpus.

Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Explainable Machine Learning with Prior Knowledge: An Overview.

Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden

CoRR, 2021