Michael Elad
26 papers · 2017–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Triple Crown
π§¬
Topic Evolution
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Keyword Champion
(3)
ποΈ
Keyword Collector
(110)
β
The Questioner
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(19)
Computer Vision
(17)
Deep Learning
(17)
Models
(12)
Processing
(12)
Optimization & Theory
(7)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(4)
Learning Types Β· Deep Learning
(4)
Mathematics & Optimization
(3)
Architectures
(3)
Generation
(3)
Keywords
image restoration
(7)
perceptual quality
(6)
diffusion model
(6)
inverse problem
(3)
adversarial robustness
(3)
adversarial training
(3)
convolutional sparse coding
(3)
posterior sampling
(3)
convolutional neural network
(2)
denoising diffusion model
(2)
posterior distribution
(2)
dictionary learning
(2)
patch matching
(2)
text-to-image generation
(2)
sparse representation
(2)
image classification
(2)
self-supervised learning
(2)
image denoising
(2)
optimal transport
(2)
perceptually aligned gradient
(2)
Papers
Advancing Image Classification with Discrete Diffusion Classification Modeling
CVPR 2026
Anchored Diffusion for Video Face Reenactment
WACV 2025
Class-Conditioned Transformation for Enhanced Robust Image Classification
WACV 2025
Compressed Image Generation with Denoising Diffusion Codebook Models
ICML 2025
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
ICLR 2025
SILO: Solving Inverse Problems with Latent Operators
ICCV 2025
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
ECCV 2024
CLIPAG: Towards Generator-Free Text-to-Image Generation
WACV 2024
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
ICLR 2024
Early Time Classification with Accumulated Accuracy Gap Control
ICML 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
NeurIPS 2024
Nested Diffusion Processes for Anytime Image Generation
WACV 2024
Perceptual Fairness in Image Restoration
NeurIPS 2024
The Perception-Robustness Tradeoff in Deterministic Image Restoration
ICML 2024
Weakly-Supervised Representation Learning for Video Alignment and Analysis
WACV 2024
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
NeurIPS 2023
Do Perceptually Aligned Gradients Imply Robustness?
ICML 2023
Patch-Craft Self-Supervised Training for Correlated Image Denoising
CVPR 2023
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
ICML 2023
Denoising Diffusion Restoration Models
NeurIPS 2022
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
ICCV 2021
SNIPS: Solving Noisy Inverse Problems Stochastically
NeurIPS 2021
A Local Block Coordinate Descent Algorithm for the CSC Model
CVPR 2019
Rethinking the CSC Model for Natural Images
NeurIPS 2019
Convolutional Dictionary Learning via Local Processing
ICCV 2017
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
JMLR 2017