Magauiya Zhussip
4 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Processing
(2)
Artificial Intelligence
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Types · Machine Learning
(1)
Keywords
image denoising
(2)
stein unbiased risk estimator
(2)
unsupervised learning
(1)
compressive sensing
(1)
attention mechanism
(1)
knowledge distillation
(1)
image reconstruction
(1)
approximate message passing
(1)
weight sharing
(1)
correlated noise
(1)
inverse problem
(1)
deep neural network
(1)
perceptual quality
(1)
parameter efficiency
(1)
diffusion probabilistic model
(1)
blind image restoration
(1)
modular framework
(1)
unsupervised training
(1)
synthetic noise
(1)
neural network
(1)
Papers
Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning
AAAI 2026
A Modular Conditional Diffusion Framework for Image Reconstruction
NeurIPS 2024
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
NeurIPS 2019
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior
CVPR 2019