| Explaining Recurrent Neural Network Predictions in Sentiment Analysis L Arras, G Montavon, KR Müller, W Samek EMNLP 2017 Workshop on Computational Approaches to Subjectivity, Sentiment …, 2017 | 487 | 2017 |
| "What is relevant in a text document?": An interpretable machine learning approach L Arras, F Horn, G Montavon, KR Müller, W Samek PLOS ONE 12 (8), e0181142, 2017 | 403 | 2017 |
| CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations L Arras, A Osman, W Samek Information Fusion 81, 14-40, 2022 | 215 | 2022 |
| Explaining Predictions of Non-Linear Classifiers in NLP L Arras, F Horn, G Montavon, KR Müller, W Samek ACL 2016 Representation Learning for NLP (RepL4NLP), 1-7, 2016 | 147 | 2016 |
| Explaining and Interpreting LSTMs L Arras, J Arjona-Medina, M Widrich, G Montavon, M Gillhofer, KR Müller, ... Lecture Notes in Computer Science, Explainable AI: Interpreting, Explaining …, 2019 | 138 | 2019 |
| Evaluating Recurrent Neural Network Explanations L Arras, A Osman, KR Müller, W Samek ACL 2019 BlackboxNLP (oral presentation), Analyzing & Interpreting Neural …, 2019 | 108 | 2019 |
| Towards Ground Truth Evaluation of Visual Explanations A Osman, L Arras, W Samek arXiv:2003.07258v1, 2020 | 19 | 2020 |
| Explainable sequence-to-sequence GRU neural network for pollution forecasting S Mirzavand Borujeni, L Arras, V Srinivasan, W Samek Scientific Reports 13 (1), 9940, 2023 | 17 | 2023 |
| Causes of Outcome Learning: a causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome A Rieckmann, P Dworzynski, L Arras, S Lapuschkin, W Samek, OA Arah, ... International Journal of Epidemiology 51 (5), 1622-1636, 2022 | 17 | 2022 |
| Explaining the Decisions of Convolutional and Recurrent Neural Networks W Samek, L Arras, A Osman, G Montavon, KR Müller Mathematical Aspects of Deep Learning, 229-266, 2022 | 3 | 2022 |
| Explainability in GeoAI X Cheng, M Vischer, Z Schellin, L Arras, MM Kuglitsch, W Samek, J Ma Handbook of Geospatial Artificial Intelligence, 177-200, 2023 | 1 | 2023 |
| A Close Look at Decomposition-based XAI-Methods for Transformer Language Models L Arras, B Puri, P Kahardipraja, S Lapuschkin, W Samek arXiv preprint arXiv:2502.15886, 2025 | | 2025 |
