Mohamed El Amine Seddik
10 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (12)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(12)
🔥
Unstoppable
(7)
💎
Century Club
(10)
❓
The Questioner
Conferences
ICLR (3)
AISTATS (2)
ICML (2)
AAAI (1)
CVPR (1)
UAI (1)
Top co-authors
Research topics
Keywords
representation learning
(3)
gaussian mixture model
(2)
random matrix theory
(2)
feature extraction
(2)
cross-modal retrieval
(1)
hyperparameter optimization
(1)
image classification
(1)
vision-language alignment
(1)
transfer learning
(1)
cross-modal learning
(1)
multimodal learning
(1)
tensor decomposition
(1)
message passing
(1)
high-dimensional analysis
(1)
semantic similarity
(1)
low-rank tensor
(1)
graph matching
(1)
adversarial robustness
(1)
convolutional neural network
(1)
statistical learning
(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
Node Feature Kernels Increase Graph Convolutional Network Robustness
AISTATS 2022
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
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