Oliver Eberle

Orcid: 0000-0002-6967-9950

According to our database1, Oliver Eberle authored at least 16 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Code and Data for "Historical Insights from Sacrobosco Tables" Project.
Dataset, April, 2024

Code and Data for Historical Insights from Sacrobosco Tables Project.
Dataset, April, 2024

Comparing zero-shot self-explanations with human rationales in multilingual text classification.
CoRR, 2024

MambaLRP: Explaining Selective State Space Sequence Models.
CoRR, 2024

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology.
CoRR, 2024

Explaining Text Similarity in Transformer Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI.
CoRR, 2023

Rather a Nurse than a Physician - Contrastive Explanations under Investigation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Explainable structured machine learning: insights into similarity, graph and transformer models.
PhD thesis, 2022

Higher-Order Explanations of Graph Neural Networks via Relevant Walks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Building and Interpreting Deep Similarity Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning.
Datenbank-Spektrum, 2022

XAI for Transformers: Better Explanations through Conservative Propagation.
Proceedings of the International Conference on Machine Learning, 2022

Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020
XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks.
CoRR, 2020


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