T. Michaeli

Most-cited papers

SinGAN: Learning a Generative Model From a Single Natural Image
T. Shaham, Tali Dekel, T. Michaeli
2019IEEE International Conference on Computer Vision971 citations Open access
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Lumiere: A Space-Time Diffusion Model for Video Generation
Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann +13 more
2024ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia574 citations
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Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Y. Blau, T. Michaeli
2019International Conference on Machine Learning485 citations
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An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Inbar Huberman-Spiegelglas, V. Kulikov, T. Michaeli
2023Computer Vision and Pattern Recognition316 citations Open access
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DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning
Elias Nehme, D. Freedman, Racheli Gordon, Boris Ferdman +6 more
2020Nature Methods304 citations Open access
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Flowedit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models
Vladimir Kulikov, Matan Kleiner, Inbar Huberman-Spiegelglas, T. Michaeli
2024IEEE International Conference on Computer Vision262 citations Open access
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SinDDM: A Single Image Denoising Diffusion Model
V. Kulikov, S. Yadin, Matan Kleiner, T. Michaeli
2022International Conference on Machine Learning125 citations Open access
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Multicolor localization microscopy and point-spread-function engineering by deep learning.
Eran Hershko, Lucien E. Weiss, T. Michaeli, Y. Shechtman
2019Optics Express104 citations Open access
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Spatially-Adaptive Pixelwise Networks for Fast Image Translation
T. Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman +1 more
2020Computer Vision and Pattern Recognition94 citations Open access
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Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
Hila Manor, T. Michaeli
2024International Conference on Machine Learning89 citations
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Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
René Haas, Inbar Huberman-Spiegelglas, Rotem Mulayoff, Stella Grasshof +2 more
2023IEEE International Conference on Automatic Face & Gesture Recognition83 citations Open access
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A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
Dror Freirich, T. Michaeli, R. Meir
2021Neural Information Processing Systems78 citations
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Explorable Super Resolution
Yuval Bahat, T. Michaeli
2019Computer Vision and Pattern Recognition73 citations Open access
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The Implicit Bias of Minima Stability: A View from Function Space
Rotem Mulayoff, T. Michaeli, Daniel Soudry
2021Neural Information Processing Systems65 citations
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TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space
Daniel Garibi, S. Yadin, Roni Paiss, Omer Tov +5 more
2025ACM Transactions on Graphics64 citations Open access
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GAN Steerability without optimization
Nurit Spingarn-Eliezer, Ron Banner, T. Michaeli
2020International Conference on Learning Representations60 citations
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Still-Moving: Customized Video Generation without Customized Video Data
Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat +6 more
2024ACM Transactions on Graphics58 citations Open access
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Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices
Nathaniel Cohen, Vladimir Kulikov, Matan Kleiner, Inbar Huberman-Spiegelglas +1 more
2024International Conference on Machine Learning53 citations
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Unique Properties of Flat Minima in Deep Networks
Rotem Mulayoff, T. Michaeli
2020International Conference on Machine Learning52 citations
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Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Guy Ohayon, T. Michaeli, Michael Elad
2024International Conference on Learning Representations48 citations
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GSURE-Based Diffusion Model Training with Corrupted Data
Bahjat Kawar, Noam Elata, T. Michaeli, Michael Elad
2023Trans. Mach. Learn. Res.43 citations Open access
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On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
Hila Manor, T. Michaeli
2023International Conference on Learning Representations43 citations Open access
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Learning Optimal Wavefront Shaping for Multi-Channel Imaging
Elias Nehme, Boris Ferdman, Lucien E. Weiss, Tal Naor +3 more
2021IEEE Transactions on Pattern Analysis and Machine Intelligence36 citations
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Automation in Interior Space Planning: Utilizing Conditional Generative Adversarial Network Models to Create Furniture Layouts
Hanan Tanasra, Tamar Rott Shaham, T. Michaeli, Guy Austern +1 more
2023Buildings35 citations Open access
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Compressed Image Generation with Denoising Diffusion Codebook Models
Guy Ohayon, Hila Manor, T. Michaeli, Michael Elad
2025International Conference on Machine Learning33 citations
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Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
Gal Greshler, T. Shaham, T. Michaeli
2021Neural Information Processing Systems29 citations
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Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata, T. Michaeli, Michael Elad
2024European Conference on Computer Vision28 citations
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Direct Validation of the Information Bottleneck Principle for Deep Nets
Adar Elad, D. Haviv, Y. Blau, T. Michaeli
20192019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)27 citations
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Uncertainty Quantification via Neural Posterior Principal Components
Elias Nehme, Omer Yair, T. Michaeli
2023Neural Information Processing Systems25 citations Open access
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The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
M. S. Nacson, Rotem Mulayoff, Greg Ongie, T. Michaeli +1 more
2023International Conference on Learning Representations25 citations Open access
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Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
H. Michaeli, T. Michaeli, Daniel Soudry
2023Computer Vision and Pattern Recognition22 citations Open access
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Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
Theo Adrai, Guy Ohayon, Michael Elad, T. Michaeli
2023Neural Information Processing Systems22 citations Open access
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High BMI and the risk for incident type 1 Diabetes Mellitus: a systematic review and meta-analysis of aggregated cohort studies
Maya Nitecki, H. Gerstein, Yulia Balmakov, E. Tsur +6 more
2023Cardiovascular Diabetology21 citations Open access
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DeepSTORM3D: dense three dimensional localization microscopy and point spread function design by deep learning
Elias Nehme, D. Freedman, Racheli Gordon, Boris Ferdman +5 more
201921 citations
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Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
Guy Ohayon, Theo Adrai, Michael Elad, T. Michaeli
2022International Conference on Machine Learning18 citations Open access
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From Posterior Sampling to Meaningful Diversity in Image Restoration
Noa Cohen, Hila Manor, Yuval Bahat, T. Michaeli
2023International Conference on Learning Representations16 citations
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Dense three dimensional localization microscopy by deep learning
Elias Nehme, D. Freedman, Racheli Gordon, Boris Ferdman +2 more
201916 citations
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Publisher Correction: DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning
Elias Nehme, D. Freedman, Racheli Gordon, Boris Ferdman +6 more
2020Nature Methods14 citations Open access
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Nested Diffusion Processes for Anytime Image Generation
Noam Elata, Bahjat Kawar, T. Michaeli, Michael Elad
2023IEEE Workshop/Winter Conference on Applications of Computer Vision12 citations Open access
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Exact Mean Square Linear Stability Analysis for SGD
Rotem Mulayoff, T. Michaeli
2023Annual Conference Computational Learning Theory12 citations Open access
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Deep Self-Dissimilarities as Powerful Visual Fingerprints
I. Kligvasser, T. Shaham, Yuval Bahat, T. Michaeli
2021Neural Information Processing Systems11 citations
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InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
Noam Elata, Hyungjin Chung, Jong Chul Ye, T. Michaeli +1 more
2025Neural Information Processing Systems10 citations
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Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression
Amit Vaisman, Guy Ohayon, Hila Manor, Michael Elad +1 more
2025arXiv.org10 citations
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Contrastive Divergence Learning is a Time Reversal Adversarial Game
O. Yair, T. Michaeli
2020International Conference on Learning Representations10 citations
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When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger +2 more
2025International Conference on Machine Learning9 citations
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The Perception-Robustness Tradeoff in Deterministic Image Restoration
Guy Ohayon, T. Michaeli, Michael Elad
2023International Conference on Machine Learning9 citations
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What’s in the Image? Explorable Decoding of Compressed Images
Yuval Bahat, T. Michaeli
2021Computer Vision and Pattern Recognition9 citations Open access
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Zero-Shot Image Compression with Diffusion-Based Posterior Sampling
Noam Elata, T. Michaeli, Michael Elad
2024arXiv.org8 citations
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Coherence Awareness in Diffractive Neural Networks
Matan Kleiner, Lior Michaeli, T. Michaeli
2024Conference on Lasers and Electro-Optics8 citations Open access
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Characterizing different cognitive and neurobiological profiles in a community sample of children using a non-parametric approach: An fMRI study
Victoria Khalfin Fekson, T. Michaeli, K. Rosch, B. Schlaggar +1 more
2023Developmental Cognitive Neuroscience8 citations Open access
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