- FlowEdit: Inversion-free text-based editing using pre-trained flow models
V. Kulikov, M. Kleiner, I. Huberman-Spiegelglas and T.~MichaeliInternational Conf. on Computer Vision (ICCV 2025)[Project webpage]
- TokenVerse: Versatile multi-concept personalization in token modulation space
D. Garibi, S. Yadin, R. Paiss, O. Tov, S. Zada, A. Ephrat, T. Michaeli, I. Mosseri and T. DekelSIGGRAPH 2025Best paper award[Project webpage]
- Compressed image generation with denoising diffusion codebook models
G. Ohayon, T. Michael and M. EladInternational Conf. on Machine Learning (ICML 2025)[Project webpage]
- When diffusion models memorize: Inductive biases in probability flow of minimum-norm shallow neural nets
C. Zeno, H. Manor, G. Ongie, N. Weinberger, T. Michaeli, D. SoudryInternational Conf. on Machine Learning (ICML 2025)
- Can the success of digital super-resolution networks be transferred to all-optical systems?
M. Kleiner, L. Michaeli and T. MichaeliConference on Lasers and Electro-Optics (CLEO 2025)
- Posterior-mean rectified flow: Towards minimum MSE photorealistic image restoration
G. Ohayon, T. Michael and M. EladInternational Conf. on Learning Representations (ICLR 2025)[Project webpage]
- Still-Moving: Customized video generation without customized video data
H. Chefer, S. Zada, R. Paiss, A. Ephrat, O. Tov, M. Rubinstein, L. Wolf, T. Dekel, T. Michaeli and I. MosseriSIGGRAPH Asia 2024[Project webpage]
- Perceptual fairness in image restoration
G. Ohayon, T. Michael and M. EladConf. on Neural Information Processing Systems (NeurIPS 2024)
- Classification diffusion models
S. Yadin, N. Elata and T. MichaeliConf. on Neural Information Processing Systems (NeurIPS 2024)[Project webpage]
- Lumiere: A Space-time diffusion model for video generation
O. Bar-Tal, H. Chefer, O. Tov, C. Herrmann, R. Paiss, S. Zada, A. Ephrat, J. Hur, G. Liu, A. Raj, Y. Li, M. Rubinstein, T. Michaeli, O.Wang, D. Sun, T. Dekel and I. MosseriSIGGRAPH 2024[Project webpage]
- Adaptive compressed sensing with diffusion-based posterior sampling
N. Elata, T. Michaeli and M. EladEuropean Conf. on Computer Vision (ECCV 2024)[Code]
- Exact mean square linear stability analysis for SGD
R. Mulayoff and T. MichaeliConference on Learning Theory (COLT 2024)
- The Perception-robustness tradeoff in deterministic image restoration
G. Ohayon, T. Michaeli and M. EladInternational Conf. on Machine Learning (ICML 2024)
- Zero-shot unsupervised and text-based audio editing using DDPM inversion
H. Manor and T. MichaeliInternational Conf. on Machine Learning (ICML 2024)[Project webpage]
- Slicedit: Zero-shot video editing with text-to-image diffusion models using spatio-temporal slices
N. Cohen, V. Kulikov, M. Kleiner, I. Huberman-Spiegelglas and T. MichaeliInternational Conf. on Machine Learning (ICML 2024)[Project webpage]
- Discovering interpretable directions in the semantic latent space of diffusion models
R. Haas, I. Huberman-Spiegelglas, R. Mulayoff, S. Graßhof, S. S. Brandt and T. MichaeliIEEE International Conf. on Automatic Face and Gesture Recognition (FG 2024)
- Coherence awareness in diffractive neural networks
M. Kleiner, L. Michaeli and T. MichaeliConference on Lasers and Electro-Optics (CLEO 2024)
- The Expected loss of preconditioned Langevin dynamics reveals the Hessian rank
A. Bar, R. Mulayoff, T. Michaeli and R. TalmonAAAI Conf. on Artificial Intelligence (AAAI 2024)
- Uncertainty visualization via low-dimensional posterior projections
O. Yair, E. Nehme and T. MichaeliConf. on Computer Vision & Pattern Recognition (CVPR 2024)[Project webpage]
- An Edit friendly DDPM noise space: Inversion and manipulations
I. Huberman-Spiegelglas, V. Kulikov and T. MichaeliConf. on Computer Vision & Pattern Recognition (CVPR 2024)[Project webpage]
- On the Posterior distribution in denoising: Application to uncertainty quantification
H. Manor and T. MichaeliInternational Conf. on Learning Representations (ICLR 2024)[Project webpage]
- From posterior sampling to meaningful diversity in image restoration
N. Cohen, H. Manor, Y. Bahat and T. MichaeliInternational Conf. on Learning Representations (ICLR 2024)[Project webpage]
- Nested diffusion processes for anytime image generation
N. Elata, B. Kawar, T. Michaeli and M. EladWinter Conf. on Applications of Computer Vision (WACV 2024)[Project webpage]
- Uncertainty quantification via neural posterior principal components
E. Nehme, O. Yair and T. MichaeliNeural Information Processing Systems (NeurIPS 2023)[Project webpage]
- Perceptual Kalman filters: Online state estimation under a perfect perceptual-quality constraint
D. Freirich, T. Michaeli and R. Meir,Neural Information Processing Systems (NeurIPS 2023)
- Deep optimal transport: A Practical algorithm for photo-realistic image restoration
T. Joseph Adrai, G. Ohayon, M. Elad and T. MichaeliNeural Information Processing Systems (NeurIPS 2023)
- Alias-free convnets: Fractional shift invariance via polynomial activations
H. Michaeli, T. Michaeli and D. SoudryConf. on Computer Vision and Pattern Recognition (CVPR 2023)
- SinDDM: A Single image denoising diffusion model
V. Kulikov, S. Yadin, M. Kleiner and T. MichaeliInternational Conf. on Machine Learning (ICML 2023)[Project webpage] [Code]
- Reasons for the superiority of stochastic estimators over deterministic ones: Robustness, consistency and perceptual quality
G. Ohayon, T. Joseph Adrai, M. Elad and T. MichaeliInternational Conf. on Machine Learning (ICML 2023)
- Internal diverse image completion
N. Alkobi, T. Rott Shaham and T. MichaeliConf. on Computer Vision and Pattern Recognition Workshops (CVPRW 2023)
- The Implicit bias of minima stability in multivariate shallow ReLU networks
M. Shpigel Nacson, R. Mulayoff, G. Ongie, T. Michaeli and D. SoudryInternational Conf. on Learning Representations (ICLR 2023)
- Energy awareness in low precision neural networks
N. Spingarn-Eliezer, R. Banner, H. Ben-Yaakov, E. Hoffer and T. MichaeliEuropean Conf. on Computer Vision Workshops (ECCVW 2022)
- Beyond local processing: Adapting CNNs for CT reconstruction
B. Hamoud, Y. Bahat and T. MichaeliEuropean Conf. on Computer Vision Workshops (ECCVW 2022)
- On information rates over a binary-input filtered Gaussian channel
M. Peleg, T. Michaeli and S. Shamai (Shitz)IEEE Int. Conf. on Microwaves, Antennas, Communications and Electronic Systems (COMCAS 2021)
- Catch-a-waveform: Learning to generate audio from a single short example
G. Greshler, T. Rott Shaham and T. MichaeliConf. on Neural Information Processing Systems (NeurIPS 2021)[Project webpage] [Code]
- Deep self-dissimilarities as powerful visual fingerprints
I. Kligvasser, T. Rott Shaham, Y. Bahat and T. MichaeliConf. on Neural Information Processing Systems (NeurIPS 2021)
- The Implicit bias of minima stability: A View from function space
R. Mulayoff, T. Michaeli and D. SoudryConf. on Neural Information Processing Systems (NeurIPS 2021)
- A Theory of the perception distortion tradeoff in Wasserstein space
D. Freirich, T. Michaeli and R. MeirConf. on Neural Information Processing Systems (NeurIPS 2021)
- Learning optimal wavefront shaping for multi-channel imaging
E. Nehme, B. Ferdman, L. E. Weiss, T. Naor, D. Freedman, T. Michaeli and Y. ShechtmanInternational Conf. on Computational Photography (ICCP 2021)[Supplementary]
- What’s in the image? Explorable decoding of compressed images
Y. Bahat and T. MichaeliConf. on Computer Vision and Pattern Recognition (CVPR 2021)
- Spatially-adaptive pixelwise networks for fast image translation
T. Rott Shaham, M. Gharbi, R. Zhang, E. Shechtman and T. MichaeliConf. on Computer Vision and Pattern Recognition (CVPR 2021)[Project webpage]
- GAN “steerability” without optimization
N. Spingarn Eliezer, R. Banner and T. MichaeliInternational Conf. on Learning Representations (ICLR 2021)Spotlight presentation[Project webpage]
- Contrastive divergence learning is a time reversal adversarial game
O. Yair and T. MichaeliInternational Conf. on Learning Representations (ICLR 2021)Spotlight presentation
- Sparsity aware normalization for GANs
I. Kligvasser and T. MichaeliAAAI Conf. on Artificial Intelligence (AAAI 2021)[Supplementary] [Code]
- Unique properties of flat minima in deep networks
R. Mulayoff and T. MichaeliInternational Conf. on Machine Learning (ICML 2020)
- Explorable super resolution
Y. Bahat and T. MichaeliConf. on Computer Vision and Pattern Recognition (CVPR 2020)Oral presentation[Project webpage]
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T. Rott Shaham, T. Dekel and T. MichaeliInternational Conf. on Computer Vision (ICCV 2019)Best paper award (Marr Prize)[Project webpage]
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Nirit Nussbaum-Hoffer and Tomer MichaeliInternational Conf. on Computer Vision Workshops (ICCVW 2019)Best paper award at the PBDL Workshop
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Doron Haviv, Yochai Blau and Tomer MichaeliInternational Conf. on Computer Vision Workshops (ICCVW 2019)Best poster award at the SDL-CV Workshop
- Rethinking lossy compression: The rate-distortion-perception tradeoff
Y. Blau and T. MichaeliInternational Conf. on Machine Learning (ICML 2019)
Long oral presentation
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Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli and Lihi Zelnik-ManorEuropean Conf. on Computer Vision Workshops (ECCVW 2018)[Project webpage]
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B. Epstein, R. Meir and T. MichaeliEuropean Conf. on Machine Learning (ECML-PKDD 2018)[Supplementary material]
- Revealing common statistical behaviors in heterogeneous populations
A. Zhitnikov, R. Mulyoff and T. MichaeliInternational Conf. on Machine Learning (ICML 2018)[Supplementary material] [code]
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Y. Blau and T. MichaeliConf. on Computer Vision and Pattern Recognition (CVPR 2018)Oral presentation[Project webpage]
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T. Rott Shaham and T. MichaeliConf. on Computer Vision and Pattern Recognition (CVPR 2018)Spotlight presentation[Project webpage]
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I. Kligvasser, T. Shaham Rott and T. MichaeliConf. on Computer Vision and Pattern Recognition (CVPR 2018)Spotlight presentation[Code]
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N. Yair and T. MichaeliConf. on Computer Vision and Pattern Recognition (CVPR 2018)
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T. Tlusty, T. Michaeli, Tali Dekel and L. Zelnik-ManorConf. on Computer Vision and Pattern Recognition (CVPR 2018)Spotlight presentation
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Y. Blau and T. MichaeliEuropean Conf. on Machine Learning (ECML-PKDD 2017)[Supplementary material]
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T. Rott Shaham and T. MichaeliEuropean Conf. on Computer Vision (ECCV 2016)[Project webpage]
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T. Michaeli, W. Wang and T. LivescuInternational Conf. on Machine Learning (ICML 2016)[Code]
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T. Dekel, T. Michaeli, M. Irani and W. T. FreemanACM SIGGRAPH Conf. in Asia (SIGGRAPH Asia 2015)[Project webpage]
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T. Michaeli and M. IraniEuropean Conf. on Computer Vision (ECCV 2014)Oral presentation
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D. Sigalov, T. Michaeli and Y. OshmanInternational Conf. on Information Fusion (Fusion 2014)
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T. Michaeli and M. IraniInternational Conf. on Computer Vision (ICCV 2013)Oral presentation[Project webpage]
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D. Sigalov, T. Michaeli and Y. OshmanIEEE Convention of Electrical & Electronics Engineers in Israel, 2012
Best student paper award
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D. Sigalov, T. Michaeli and Y. OshmanInternational Conf. on Information Fusion (Fusion 2012)
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T. Michaeli, Y. C. Eldar and G. SapiroIEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP 2012)
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T. Michaeli and Y. C. EldarIEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP 2012)
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T. Michaeli, D. Sigalov and Y. C. EldarInternational Conf. on Latent Variable Analysis & Signal Separation (LVA/ICA 2012)
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D. Sigalov, T. Michaeli and Y. OshmanIEEE Conference on Decision and Control (CDC 2011)
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T. Michaeli, Y. C. Eldar and V. PohlIEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP 2011)
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Z. Ben-Haim, T. Michaeli and Y. C. EldarIEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2010)
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T. Michaeli and I. CohenIEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP 2010)
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T. Michaeli and Y. C. EldarIEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP 2010[Project webpage]
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T. Faktor, T. Michaeli and Y. C. EldarSPIE (Computational Imaging VIII) 2010
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T. Michaeli and Y. C. EldarIEEE Workshop on Statistical Signal Processing (SSP 2009)
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T. Michaeli and Y. C. EldarIEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP 2008)
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T. Michaeli and Y. C. EldarInternational Workshop on Sampling Theory and Applications (SAMPTA 2007)
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T. Michaeli and Y. C. EldarIEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP 2007)