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Disambiguation of "Seddik, Mohamed El Amine"

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Optimization-Based Neural Networks Compression.

, , and . ICIP, page 3512-3516. IEEE, (2021)

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Mohamed Amine Oucible

Mohamed Amine Chatti

Amine Mohamed Houyou

Emad Mohamed Hussien Amine

Mohamed El-Kahlout

 

Other publications of authors with the same name

Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8573-8582. PMLR, (2020)The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1045-1053. PMLR, (2021)Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images., , and . ICASSP, page 7480-7484. IEEE, (2019)Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective., , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1858-1867. PMLR, (2023)Deep Multi-class Adversarial Specularity Removal., , , , and . SCIA, volume 11482 of Lecture Notes in Computer Science, page 3-15. Springer, (2019)Lightweight Neural Networks From PCA & LDA Based Distilled Dense Neural Networks., , , and . ICIP, page 3060-3064. IEEE, (2020)Optimization-Based Neural Networks Compression., , and . ICIP, page 3512-3516. IEEE, (2021)Random Matrix Theory for AI: From Theory to Practice. (Théorie des matrices aléatoires pour l'IA: De la théorie à la pratique).. Supélec, Gif-sur-Yvette, France, (2020)High-dimensional Learning with Noisy Labels., and . CoRR, (2024)A Kernel Random Matrix-Based Approach for Sparse PCA., , and . ICLR (Poster), OpenReview.net, (2019)