271 citations · 527 across the 7 of their papers we have counts for
10 papers
Concept-based explanations of Segmentation and Detection models in Natural Disaster Management
Samar Heydari, Jawher Said, Galip Ümit Yolcu +7
Deep learning models for flood and wildfire segmentation and object detection enable precise, real-time disaster localization when deployed on embedded drone platforms. However, in…
A Close Look at Decomposition-based XAI-Methods for Transformer Language Models
Leila Arras, Bruno Puri, Patrick Kahardipraja +2
Various XAI attribution methods have been recently proposed for the transformer architecture, allowing for insights into the decision-making process of large language models by ass…
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Leila Arras, Ahmed Osman, Wojciech Samek
The rise of deep learning in today's applications entailed an increasing need in explaining the model's decisions beyond prediction performances in order to foster trust and accoun…
Explaining and Interpreting LSTMs
Leila Arras, Jose A. Arjona-Medina, Michael Widrich +5
While neural networks have acted as a strong unifying force in the design of modern AI systems, the neural network architectures themselves remain highly heterogeneous due to the v…
Evaluating Recurrent Neural Network Explanations
Leila Arras, Ahmed Osman, Klaus-Robert Müller +1
Recently, several methods have been proposed to explain the predictions of recurrent neural networks (RNNs), in particular of LSTMs. The goal of these methods is to understand the…
Discovering topics in text datasets by visualizing relevant words
Franziska Horn, Leila Arras, Grégoire Montavon +2
When dealing with large collections of documents, it is imperative to quickly get an overview of the texts' contents. In this paper we show how this can be achieved by using a clus…