Articles by Mohamed El Amine Seddik | Synthical

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16

Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory

11 October 2024 by Aymane Firdoussi and others

Machine Learning, Artificial Intelligence

Alignment with Preference Optimization Is All You Need for LLM Safety

12 September 2024 by Reda Alami and others

Machine Learning

Falcon2-11B Technical Report

20 July 2024 by Quentin Malartic and others

Computation and Language, Computer Vision and Pattern Recognition

High-dimensional Learning with Noisy Labels

23 May 2024 by Aymane Firdoussi and Mohamed El Amine Seddik

Machine Learning, Artificial Intelligence

How Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse

7 April 2024 by Mohamed El Amine Seddik and others

Machine Learning, Artificial Intelligence

Do Vision and Language Encoders Represent the World Similarly?

22 March 2024 by Mayug Maniparambil and others at

Dublin City University

Computer Vision and Pattern Recognition, Artificial Intelligence

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model

16 February 2024 by Hugo Lebeau and others

Machine Learning, Probability

On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis

28 October 2023 by Mohamed El Amine Seddik and others

Machine Learning

A Nested Matrix-Tensor Model for Noisy Multi-view Clustering

31 May 2023 by Mohamed El Amine Seddik and others

Machine Learning

Hotelling Deflation on Large Symmetric Spiked Tensors

20 April 2023 by Mohamed El Amine Seddik and others

Machine Learning

Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory

16 March 2023 by Mohamed El Amine Seddik and others

Machine Learning, Probability

On the Accuracy of Hotelling-Type Tensor Deflation: A Random Tensor Analysis

16 November 2022 by Mohamed El Amine Seddik and others

Statistics Theory, Probability

Node Feature Kernels Increase Graph Convolutional Network Robustness

20 January 2022 by Mohamed El Amine Seddik and others

Machine Learning, Social and Information Networks

When Random Tensors meet Random Matrices

12 January 2022 by Mohamed El Amine Seddik and others

Probability, Spectral Theory

Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification

18 February 2021 by Abdallah Benzine and others

Computer Vision and Pattern Recognition

Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures

21 January 2020 by Mohamed El Amine Seddik and others

Machine Learning

Deep Multi-class Adversarial Specularity Removal

4 April 2019 by John Lin and others

Computer Vision and Pattern Recognition

Generative Collaborative Networks for Single Image Super-Resolution

12 March 2019 by Mohamed El Amine Seddik and others

Computer Vision and Pattern Recognition

Learning More Universal Representations for Transfer-Learning

29 December 2017 by Youssef Tamaazousti and others

Computer Vision and Pattern Recognition, Machine Learning

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Topics

Machine Learning Computer Vision and Pattern Recognition Probability Statistics Theory Artificial Intelligence Computation and Language Social and Information Networks Spectral Theory