Michael Elad

About Michael Elad

Michael Elad, With an exceptional h-index of 99 and a recent h-index of 66 (since 2020), a distinguished researcher at Technion - Israel Institute of Technology, specializes in the field of Machine Learning, Image Processing, Signal Processing, Inverse Problems, Sparse Representations.

His recent articles reflect a diverse array of research interests and contributions to the field:

Nested Diffusion Processes for Anytime Image Generation

Weakly-supervised representation learning for video alignment and analysis

Deep optimal transport: A practical algorithm for photo-realistic image restoration

Early Time Classification with Accumulated Accuracy Gap Control

Clipag: Towards generator-free text-to-image generation

Complex-valued retrievals from noisy images using diffusion models

Reasons for the superiority of stochastic estimators over deterministic ones: Robustness, consistency and perceptual quality

Diffusion Models for Generative Histopathology

Michael Elad Information

University

Position

Professor of Computer Science Israel

Citations(all)

81748

Citations(since 2020)

26275

Cited By

67333

hIndex(all)

99

hIndex(since 2020)

66

i10Index(all)

241

i10Index(since 2020)

177

Email

University Profile Page

Technion - Israel Institute of Technology

Google Scholar

View Google Scholar Profile

Michael Elad Skills & Research Interests

Machine Learning

Image Processing

Signal Processing

Inverse Problems

Sparse Representations

Top articles of Michael Elad

Title

Journal

Author(s)

Publication Date

Nested Diffusion Processes for Anytime Image Generation

Noam Elata

Bahjat Kawar

Tomer Michaeli

Michael Elad

2024

Weakly-supervised representation learning for video alignment and analysis

Guy Bar-Shalom

George Leifman

Michael Elad

2024

Deep optimal transport: A practical algorithm for photo-realistic image restoration

Advances in Neural Information Processing Systems

Theo Adrai

Guy Ohayon

Michael Elad

Tomer Michaeli

2024/2/13

Early Time Classification with Accumulated Accuracy Gap Control

arXiv preprint arXiv:2402.00857

Liran Ringel

Regev Cohen

Daniel Freedman

Michael Elad

Yaniv Romano

2024/2/1

Clipag: Towards generator-free text-to-image generation

Roy Ganz

Michael Elad

2024

Complex-valued retrievals from noisy images using diffusion models

Nadav Torem

Roi Ronen

Yoav Y Schechner

Michael Elad

2023

Reasons for the superiority of stochastic estimators over deterministic ones: Robustness, consistency and perceptual quality

Guy Ohayon

Theo Joseph Adrai

Michael Elad

Tomer Michaeli

2023/7/3

Diffusion Models for Generative Histopathology

Niranjan Sridhar

Michael Elad

Carson McNeil

Ehud Rivlin

Daniel Freedman

2023/10/8

Semi-supervised Quality Evaluation of Colonoscopy Procedures

Idan Kligvasser

George Leifman

Roman Goldenberg

Ehud Rivlin

Michael Elad

2023

NOVEL ONLINE AND OFFLINE COLONOSCOPY QUALITY METRICS BASED ON TUBENESS

Gastrointestinal Endoscopy

Idan Kligvasser

George Leifman

Michael Elad

Roman Goldenberg

Ehud Rivlin

2023/6/1

Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time

George Leifman

Idan Kligvasser

Roman Goldenberg

Ehud Rivlin

Michael Elad

2023/10/7

High-perceptual quality JPEG decoding via posterior sampling

Sean Man

Guy Ohayon

Theo Adrai

Michael Elad

2023

Gsure-based diffusion model training with corrupted data

arXiv preprint arXiv:2305.13128

Bahjat Kawar

Noam Elata

Tomer Michaeli

Michael Elad

2023/5/22

DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation

arXiv preprint arXiv:2310.01381

Roi Benita

Michael Elad

Joseph Keshet

2023/10/2

Principal uncertainty quantification with spatial correlation for image restoration problems

IEEE Transactions on Pattern Analysis and Machine Intelligence

Omer Belhasin

Yaniv Romano

Daniel Freedman

Ehud Rivlin

Michael Elad

2023/12/14

Patch-craft self-supervised training for correlated image denoising

Gregory Vaksman

Michael Elad

2023

Conformal prediction masks: Visualizing uncertainty in medical imaging

Gilad Kutiel

Regev Cohen

Michael Elad

Daniel Freedman

Ehud Rivlin

2023/5/4

Image denoising: The deep learning revolution and beyond—a survey paper

SIAM Journal on Imaging Sciences

Michael Elad

Bahjat Kawar

Gregory Vaksman

2023/9/30

The Perception-Robustness Tradeoff in Deterministic Image Restoration

arXiv preprint arXiv:2311.09253

Guy Ohayon

Tomer Michaeli

Michael Elad

2023/11/14

Classifier robustness enhancement via test-time transformation

arXiv preprint arXiv:2303.15409

Tsachi Blau

Roy Ganz

Chaim Baskin

Michael Elad

Alex Bronstein

2023/3/27

See List of Professors in Michael Elad University(Technion - Israel Institute of Technology)

Co-Authors

H-index: 116
Guillermo Sapiro

Guillermo Sapiro

Duke University

H-index: 81
Ron Kimmel

Ron Kimmel

Technion - Israel Institute of Technology

H-index: 70
Alfred Bruckstein

Alfred Bruckstein

Technion - Israel Institute of Technology

H-index: 68
Sina Farsiu

Sina Farsiu

Duke University

H-index: 55
Michael (Miki) Lustig

Michael (Miki) Lustig

University of California, Berkeley

H-index: 48
Raja Giryes

Raja Giryes

Tel Aviv University

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