Kenza Amara

19 papers A* 2B 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Concept-Level Explainability for Auditing & Steering LLM Responses.
CoRR
Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady
2024 — conf
Challenges and Opportunities in Text Generation Explainability.
xAI (1)
Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady
2024 J jnl
Challenges and Opportunities in Text Generation Explainability.
CoRR
Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady
2024 A* conf
PowerGraph: A power grid benchmark dataset for graph neural networks.
NeurIPS
Anna Varbella, Kenza Amara, Blazhe Gjorgiev, Mennatallah El-Assady, Giovanni Sansavini
2024 J jnl
PowerGraph: A power grid benchmark dataset for graph neural networks.
CoRR
Anna Varbella, Kenza Amara, Blazhe Gjorgiev, Giovanni Sansavini
2024 — conf
SyntaxShap: Syntax-aware Explainability Method for Text Generation.
ACL (Findings)
Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady
2024 J jnl
SyntaxShap: Syntax-aware Explainability Method for Text Generation.
CoRR
Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady
2024 J jnl
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities.
CoRR
Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady
2024 J jnl
iToT: An Interactive System for Customized Tree-of-Thought Generation.
CoRR
Alan Boyle, Isha Gupta, Sebastian Hönig, Lukas Mautner, Kenza Amara, Furui Cheng, Mennatallah El-Assady
2023 J jnl
Explaining compound activity predictions with a substructure-aware loss for graph neural networks.
J. Cheminformatics
Kenza Amara, Raquel Rodríguez-Pérez, José Jiménez-Luna
2023 J jnl
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations.
CoRR
Kenza Amara, Mennatallah El-Assady, Rex Ying
2023 J jnl
Generative Explanation for Graph Neural Network: Methods and Evaluation.
IEEE Data Eng. Bull.
Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying
2023 J jnl
Generative Explanations for Graph Neural Network: Methods and Evaluations.
CoRR
Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying
2022 — conf
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.
LoG
Kenza Amara, Zhitao Ying, Zitao Zhang, Zhichao Han, Yang Zhao, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang
2022 J jnl
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.
CoRR
Kenza Amara, Rex Ying, Zitao Zhang, Zhihao Han, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang
2022 B conf
Nearest Neighbor Search with Compact Codes: A Decoder Perspective.
ICMR
Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
2022 A* conf
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery.
AAAI
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
2022 J jnl
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery.
CoRR
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
2021 J jnl
Nearest neighbor search with compact codes: A decoder perspective.
CoRR
Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou