Mohamed El Amine Seddik
10 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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The Questioner
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(8)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(4)
Mathematics & Optimization
(3)
Architectures
(3)
Optimization
(3)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Application Areas
(1)
Core AI
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
random matrix theory
(4)
representation learning
(3)
gaussian mixture model
(2)
feature extraction
(2)
tensor decomposition
(2)
high-dimensional statistics
(1)
cross-modal learning
(1)
transfer learning
(1)
vision-language alignment
(1)
multimodal learning
(1)
adversarial robustness
(1)
cross-modal retrieval
(1)
graph matching
(1)
message passing
(1)
sparse principal component analysis
(1)
hyperparameter optimization
(1)
label noise
(1)
high-dimensional analysis
(1)
low-rank tensor
(1)
image classification
(1)
Papers
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory
ICLR 2025
Do Vision and Language Encoders Represent the World Similarly?
CVPR 2024
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
ICLR 2024
Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective
UAI 2023
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
ICML 2022
Neural Networks Classify through the Class-Wise Means of Their Representations
AAAI 2022
Node Feature Kernels Increase Graph Convolutional Network Robustness
AISTATS 2022
The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers
AISTATS 2021
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
ICML 2020
A Kernel Random Matrix-Based Approach for Sparse PCA
ICLR 2019