Nairouz Mrabah

25 papers A* 5A 2B 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Geometric Perspective for High-Dimensional Multiplex Graphs. CoRR Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
2025	J	`jnl`	Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification. CoRR Taha Mustapha Nehdi, Nairouz Mrabah, Atif Belal, Marco Pedersoli, Eric Granger
2025	J	`jnl`	Rethinking Deep Clustering Paradigms: Self-Supervision Is All You Need. CoRR Amal Shaheen, Nairouz Mrabah, Riadh Ksantini, Abdulla Alqaddoumi
2025	J	`jnl`	Rethinking deep clustering paradigms: Self-supervision is all you need. Neural Networks Amal Shaheen, Nairouz Mrabah, Riadh Ksantini, Abdulla Alqaddoumi
2025	B	`conf`	Scalable Deep Subspace Clustering Network. DSAA Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami
2025	J	`jnl`	Scalable Deep Subspace Clustering Network. CoRR Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami
2025	—	`conf`	Smooth Transitions in Graph Self-Supervision: Mitigating Feature Twist Across Abstraction Levels. ICDM (Workshops) Mohamed Bouguessa, Nairouz Mrabah, Youssef Amdouni
2025	J	`jnl`	Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation. CoRR Nairouz Mrabah, Nicolas Richet, Ismail Ben Ayed, Éric Granger
2024	A	`conf`	A Geometric Perspective for High-Dimensional Multiplex Graphs. CIKM Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
2024	J	`jnl`	A contrastive variational graph auto-encoder for node clustering. Pattern Recognit. Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2024	J	`jnl`	Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. IEEE Trans. Knowl. Data Eng. Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
2023	J	`jnl`	A Contrastive Variational Graph Auto-Encoder for Node Clustering. CoRR Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2023	A*	`conf`	Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). ICDE Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2023	A	`conf`	Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. SDM Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2023	A*	`conf`	Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. AAAI Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo
2023	J	`jnl`	Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. CoRR Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
2023	A*	`conf`	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). ICDE Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
2023	J	`jnl`	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
2023	A*	`conf`	Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. IJCAI Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo
2022	J	`jnl`	Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift. IEEE Trans. Knowl. Data Eng. Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2022	A*	`conf`	Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. IJCAI Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2021	J	`jnl`	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. CoRR Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
2020	J	`jnl`	Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction. Neural Networks Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini, Zied Lachiri
2019	J	`jnl`	Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift. CoRR Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2019	J	`jnl`	Deep Clustering with a Dynamic Autoencoder. CoRR Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini