Mohamed El Amine Seddik

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Tensor Analysis

Top Venues

Publications

Hugo Lebeau, Mohamed El Amine Seddik, José Henrique de Morais Goulart
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model. ICLR (2024)
Hugo Lebeau, Mohamed El Amine Seddik, José Henrique de Morais Goulart
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model. CoRR (2024)
Réda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine Seddik, Salem Lahlou
Investigating Regularization of Self-Play Language Models. CoRR (2024)
Mohamed El Amine Seddik, Suei-Wen Chen, Soufiane Hayou, Pierre Youssef, Mérouane Debbah
How Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse. CoRR (2024)
Aymane El Firdoussi, Mohamed El Amine Seddik
High-dimensional Learning with Noisy Labels. CoRR (2024)
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
Falcon2-11B Technical Report. CoRR (2024)
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Mohamed El Amine Seddik, Karttikeya Mangalam, Noel E. O'Connor
Do Vision and Language Encoders Represent the World Similarly? CoRR (2024)
Mohamed El Amine Seddik, Maxime Guillaud, Alexis Decurninge, José Henrique de Morais Goulart
On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis. CAMSAP (2023)
Mohamed El Amine Seddik, Maxime Guillaud, Alexis Decurninge, José Henrique de Morais Goulart
On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis. CoRR (2023)
Mohamed El Amine Seddik, Mastane Achab, Henrique Goulart, Mérouane Debbah
A Nested Matrix-Tensor Model for Noisy Multi-view Clustering. CoRR (2023)
Mohamed El Amine Seddik, Malik Tiomoko, Alexis Decurninge, Maxim Panov, Maxime Guillaud
Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective. UAI (2023)
Mohamed El Amine Seddik, José Henrique de Morais Goulart, Maxime Guillaud
Hotelling Deflation on Large Symmetric Spiked Tensors. CoRR (2023)
Natalia Efremova, Mohamed El Amine Seddik, Esra Erten
Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Mohamed El Amine Seddik, Mohamed Tamaazousti
Neural Networks Classify through the Class-Wise Means of Their Representations. AAAI (2022)
Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik, Igor Colin, Aladin Virmaux
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm. ICML (2022)
Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis
Node Feature Kernels Increase Graph Convolutional Network Robustness. AISTATS (2022)
Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti
The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. AISTATS (2021)
Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis
Node Feature Kernels Increase Graph Convolutional Network Robustness. CoRR (2021)
Abdallah Benzine, Mohamed El Amine Seddik, Julien Desmarais
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification. CoRR (2021)
Younes Tahiri, Mohamed El Amine Seddik, Mohamed Tamaazousti
Optimization-Based Neural Networks Compression. ICIP (2021)
Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin
Generative collaborative networks for single image super-resolution. Neurocomputing 398 (2020)
Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti
Learning More Universal Representations for Transfer-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42 (9) (2020)
Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. CoRR (2020)
Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. ICML (2020)
Mohamed El Amine Seddik, Hassane Essafi, Abdallah Benzine, Mohamed Tamaazousti
Lightweight Neural Networks From PCA & LDA Based Distilled Dense Neural Networks. ICIP (2020)
John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli
Deep Multi-class Adversarial Specularity Removal. CoRR (2019)
Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin
Generative Collaborative Networks for Single Image Super-Resolution. CoRR (2019)
Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images. ICASSP (2019)
John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli
Deep Multi-class Adversarial Specularity Removal. SCIA (2019)
Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
A Kernel Random Matrix-Based Approach for Sparse PCA. ICLR (Poster) (2019)
Mohamed El Amine Seddik, Viktor Toldov, Laurent Clavier, Nathalie Mitton
From outage probability to ALOHA MAC layer performance analysis in distributed WSNs. WCNC (2018)
Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti
Learning More Universal Representations for Transfer-Learning. CoRR (2017)