Mohamed Tamaazousti
6 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(3)
Optimization & Theory · Machine Learning
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Application Areas
(1)
Architectures
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Models
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
feature extraction
(2)
representation learning
(2)
random matrix theory
(2)
gaussian mixture model
(2)
image restoration
(1)
high-dimensional statistics
(1)
tensor decomposition
(1)
sparse principal component analysis
(1)
convolutional neural network
(1)
randomized smoothing
(1)
generative adversarial network
(1)
softmax layer
(1)
random matrix
(1)
tucker decomposition
(1)
softmax classifier
(1)
kernel methods
(1)
neural network
(1)
class-wise mean
(1)
neural network classification
(1)
sample covariance matrix
(1)
Papers
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution
CVPR 2024
Neural Networks Classify through the Class-Wise Means of Their Representations
AAAI 2022
Random Tensor Theory for Tensor Decomposition
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