Leila Arras

According to our database, Leila Arras authored at least 12 papers between 2016 and 2026.

Collaborative distances:

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

2026

Concept-based explanations of Segmentation and Detection models in Natural Disaster Management.

Samar Heydari, Jawher Said, Galip Ümit Yolcu, Evgenii Kortukov, Elena Golimblevskaia, Evgenios Vlachos, Vasileios Mygdalis, Ioannis Pitas, Sebastian Lapuschkin, Leila Arras

CoRR, March, 2026

2025

A Close Look at Decomposition-based XAI-Methods for Transformer Language Models.

Leila Arras, Bruno Puri, Patrick Kahardipraja, Sebastian Lapuschkin, Wojciech Samek

CoRR, February, 2025

2022

CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations.

Leila Arras, Ahmed Osman, Wojciech Samek

Inf. Fusion, 2022

2020

Towards Ground Truth Evaluation of Visual Explanations.

Ahmed Osman, Leila Arras, Wojciech Samek

CoRR, 2020

2019

Explaining and Interpreting LSTMs.

Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek

Proceedings of the Explainable AI: Interpreting, 2019

Explaining and Interpreting LSTMs.

Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek

CoRR, 2019

Evaluating Recurrent Neural Network Explanations.

Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

2017

Discovering topics in text datasets by visualizing relevant words.

Franziska Horn, Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

CoRR, 2017

Exploring text datasets by visualizing relevant words.

Franziska Horn, Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

CoRR, 2017

Explaining Recurrent Neural Network Predictions in Sentiment Analysis.

Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

2016

"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach.

Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

CoRR, 2016

Explaining Predictions of Non-Linear Classifiers in NLP.

Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016