Mohamed El Amine Seddik

44 papers A* 6A 3B 3Misc 1Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling. CoRR Falcon LLM Team, Iheb Chaabane, Puneesh Khanna, Suhail Mohmad, Slim Frikha, Shi-Yu Huang, Abdalgader Abubaker, Reda Alami, Mikhail Lubinets, Mohamed El Amine Seddik, Hakim Hacid
2025	J	`jnl`	Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets. CoRR Adam Younsi, Abdalgader Abubaker, Mohamed El Amine Seddik, Hakim Hacid, Salem Lahlou
2025	J	`jnl`	Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance. CoRR Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, Younes Belkada, Dhia Eddine Rhayem, Guillaume Kunsch, Hakim Hacid, Hamza Yous, Brahim Farhat, Ibrahim Khadraoui, Mugariya Farooq, Giulia Campesan, Ruxandra Cojocaru, Yasser Dahou, Shi Hu, Iheb Chaabane, Puneesh Khanna, Mohamed El Amine Seddik, Ngoc Dung Huynh, Phuc H. Le-Khac, Leen Al Qadi, Billel Mokeddem, Mohamed Chami, Abdalgader Abubaker, Mikhail Lubinets, Kacper Piskorski, Slim Frikha
2025	J	`jnl`	High-Dimensional Analysis of Bootstrap Ensemble Classifiers. CoRR Hamza Cherkaoui, Malik Tiomoko, Mohamed El Amine Seddik, Cosme Louart, Ekkehard Schnoor, Balázs Kégl
2025	A*	`conf`	Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory. ICLR Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou, Réda Alami, Ahmed Alzubaidi, Hakim Hacid
2025	J	`jnl`	Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients. CoRR Omar El Mansouri, Mohamed El Amine Seddik, Salem Lahlou
2025	J	`jnl`	On the Stability of the Jacobian Matrix in Deep Neural Networks. CoRR Benjamin Dadoun, Soufiane Hayou, Hanan Salam, Mohamed El Amine Seddik, Pierre Youssef
2025	J	`jnl`	α-LoRA: Effective Fine-Tuning via Base Model Rescaling. CoRR Aymane El Firdoussi, El Mahdi Chayti, Mohamed El Amine Seddik, Martin Jaggi
2024	J	`jnl`	Alignment with Preference Optimization Is All You Need for LLM Safety. CoRR Réda Alami, Ali Khalifa Almansoori, Ahmed Alzubaidi, Mohamed El Amine Seddik, Mugariya Farooq, Hakim Hacid
2024	A*	`conf`	Do Vision and Language Encoders Represent the World Similarly? CVPR Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Mohamed El Amine Seddik, Sanath Narayan, Karttikeya Mangalam, Noel E. O'Connor
2024	J	`jnl`	Do Vision and Language Encoders Represent the World Similarly? CoRR Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Mohamed El Amine Seddik, Karttikeya Mangalam, Noel E. O'Connor
2024	J	`jnl`	Falcon2-11B Technical Report. CoRR Quentin Malartic, Nilabhra Roy Chowdhury, Ruxandra Cojocaru, Mugariya Farooq, Giulia Campesan, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Maksim Velikanov, Basma El Amel Boussaha, Mohammed Al-Yafeai, Hamza Alobeidli, Leen Al Qadi, Mohamed El Amine Seddik, Kirill Fedyanin, Réda Alami, Hakim Hacid
2024	J	`jnl`	High-dimensional Learning with Noisy Labels. CoRR Aymane El Firdoussi, Mohamed El Amine Seddik
2024	J	`jnl`	How Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse. CoRR Mohamed El Amine Seddik, Suei-Wen Chen, Soufiane Hayou, Pierre Youssef, Mérouane Debbah
2024	J	`jnl`	Investigating Regularization of Self-Play Language Models. CoRR Réda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine Seddik, Salem Lahlou
2024	J	`jnl`	Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory. CoRR Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou, Réda Alami, Ahmed Alzubaidi, Hakim Hacid
2024	A*	`conf`	Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model. ICLR Hugo Lebeau, Mohamed El Amine Seddik, José Henrique de Morais Goulart
2024	J	`jnl`	Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model. CoRR Hugo Lebeau, Mohamed El Amine Seddik, José Henrique de Morais Goulart
2023	J	`jnl`	A Nested Matrix-Tensor Model for Noisy Multi-view Clustering. CoRR Mohamed El Amine Seddik, Mastane Achab, Henrique Goulart, Mérouane Debbah
2023	J	`jnl`	Hotelling Deflation on Large Symmetric Spiked Tensors. CoRR Mohamed El Amine Seddik, José Henrique de Morais Goulart, Maxime Guillaud
2023	A	`conf`	Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective. UAI Mohamed El Amine Seddik, Malik Tiomoko, Alexis Decurninge, Maxim Panov, Maxime Guillaud
2023	—	`conf`	On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis. CAMSAP Mohamed El Amine Seddik, Maxime Guillaud, Alexis Decurninge, José Henrique de Morais Goulart
2023	J	`jnl`	On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis. CoRR Mohamed El Amine Seddik, Maxime Guillaud, Alexis Decurninge, José Henrique de Morais Goulart
2022	A*	`conf`	Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm. ICML Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik, Igor Colin, Aladin Virmaux
2022	A*	`conf`	Neural Networks Classify through the Class-Wise Means of Their Representations. AAAI Mohamed El Amine Seddik, Mohamed Tamaazousti
2022	A	`conf`	Node Feature Kernels Increase Graph Convolutional Network Robustness. AISTATS Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis
2022	J	`jnl`	Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing. IEEE Trans. Geosci. Remote. Sens. Natalia Efremova, Mohamed El Amine Seddik, Esra Erten
2021	J	`jnl`	Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification. CoRR Abdallah Benzine, Mohamed El Amine Seddik, Julien Desmarais
2021	J	`jnl`	Node Feature Kernels Increase Graph Convolutional Network Robustness. CoRR Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis
2021	B	`conf`	Optimization-Based Neural Networks Compression. ICIP Younes Tahiri, Mohamed El Amine Seddik, Mohamed Tamaazousti
2021	A	`conf`	The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. AISTATS Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti
2020	J	`jnl`	Generative collaborative networks for single image super-resolution. Neurocomputing Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin
2020	J	`jnl`	Learning More Universal Representations for Transfer-Learning. IEEE Trans. Pattern Anal. Mach. Intell. Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti
2020	B	`conf`	Lightweight Neural Networks From PCA & LDA Based Distilled Dense Neural Networks. ICIP Mohamed El Amine Seddik, Hassane Essafi, Abdallah Benzine, Mohamed Tamaazousti
2020	A*	`conf`	Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. ICML Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet
2020	J	`jnl`	Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. CoRR Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet
2020	—	`—`	Random Matrix Theory for AI: From Theory to Practice. (Théorie des matrices aléatoires pour l'IA: De la théorie à la pratique). Mohamed El Amine Seddik
2019	—	`conf`	A Kernel Random Matrix-Based Approach for Sparse PCA. ICLR (Poster) Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
2019	—	`conf`	Deep Multi-class Adversarial Specularity Removal. SCIA John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli
2019	J	`jnl`	Deep Multi-class Adversarial Specularity Removal. CoRR John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli
2019	J	`jnl`	Generative Collaborative Networks for Single Image Super-Resolution. CoRR Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin
2019	Misc	`conf`	Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images. ICASSP Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
2018	B	`conf`	From outage probability to ALOHA MAC layer performance analysis in distributed WSNs. WCNC Mohamed El Amine Seddik, Viktor Toldov, Laurent Clavier, Nathalie Mitton
2017	J	`jnl`	Learning More Universal Representations for Transfer-Learning. CoRR Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti