Kenza Amara

According to our database, Kenza Amara authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

Concept-Level Explainability for Auditing & Steering LLM Responses.

Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady

CoRR, May, 2025

2024

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities.

Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady

CoRR, 2024

iToT: An Interactive System for Customized Tree-of-Thought Generation.

Alan Boyle, Isha Gupta, Sebastian Hönig, Lukas Mautner, Kenza Amara, Furui Cheng, Mennatallah El-Assady

CoRR, 2024

PowerGraph: A power grid benchmark dataset for graph neural networks.

Anna Varbella, Kenza Amara, Blazhe Gjorgiev, Giovanni Sansavini

CoRR, 2024

Challenges and Opportunities in Text Generation Explainability.

Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady

Proceedings of the Explainable Artificial Intelligence, 2024

PowerGraph: A power grid benchmark dataset for graph neural networks.

Anna Varbella, Kenza Amara, Blazhe Gjorgiev, Mennatallah El-Assady, Giovanni Sansavini

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SyntaxShap: Syntax-aware Explainability Method for Text Generation.

Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Explaining compound activity predictions with a substructure-aware loss for graph neural networks.

Kenza Amara, Raquel Rodríguez-Pérez, José Jiménez-Luna

J. Cheminformatics, December, 2023

Generative Explanation for Graph Neural Network: Methods and Evaluation.

Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying

IEEE Data Eng. Bull., 2023

Generative Explanations for Graph Neural Network: Methods and Evaluations.

Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying

CoRR, 2023

GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations.

Kenza Amara, Mennatallah El-Assady, Rex Ying

CoRR, 2023

2022

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.

Kenza Amara, Rex Ying, Zitao Zhang, Zhihao Han, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang

CoRR, 2022

Nearest Neighbor Search with Compact Codes: A Decoder Perspective.

Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.

Kenza Amara, Zhitao Ying, Zitao Zhang, Zhichao Han, Yang Zhao, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang

Proceedings of the Learning on Graphs Conference, 2022

ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery.

Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022