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Tomer Michaeli

Assoc. Prof.

 https://orcid.org/0000-0003-0525-8054
    • 3775
      Citations
    20072024

    Research activity per year

    Search results

    • 2024

      Coherence Awareness in Diffractive Neural Networks

      Kleiner, M., Michaeli, L. & Michaeli, T., 2024, CLEO: Fundamental Science, CLEO:FS 2024 in Proceedings CLEO 2024 - Part of Conference on Lasers and Electro-Optics. (CLEO: Fundamental Science, CLEO:FS 2024 in Proceedings CLEO 2024 - Part of Conference on Lasers and Electro-Optics).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Coherence Awareness in Diffractive Neural Networks

      Kleiner, M., Michaeli, L. & Michaeli, T., 2024, 2024 Conference on Lasers and Electro-Optics, CLEO 2024. (2024 Conference on Lasers and Electro-Optics, CLEO 2024).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models

      Haas, R., Huberman-Spiegelglas, I., Mulayoff, R., Grasshof, S., Brandt, S. S. & Michaeli, T., 2024, 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, FG 2024. (2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, FG 2024).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Exact Mean Square Linear Stability Analysis for SGD

      Mulayoff, R. & Michaeli, T., 2024, In: Proceedings of Machine Learning Research. 247, p. 3915-3969 55 p.

      Research output: Contribution to journal › Conference article › peer-review

    • FROM POSTERIOR SAMPLING TO MEANINGFUL DIVERSITY IN IMAGE RESTORATION

      Cohen, N., Manor, H., Bahat, Y. & Michaeli, T., 2024.

      Research output: Contribution to conference › Paper › peer-review

    • Nested Diffusion Processes for Anytime Image Generation

      Elata, N., Kawar, B., Michaeli, T. & Elad, M., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. p. 4995-5004 10 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • ON THE POSTERIOR DISTRIBUTION IN DENOISING: APPLICATION TO UNCERTAINTY QUANTIFICATION

      Manor, H. & Michaeli, T., 2024.

      Research output: Contribution to conference › Paper › peer-review

    • Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices

      Cohen, N., Kulikov, V., Kleiner, M., Huberman-Spiegelglas, I. & Michaeli, T., 2024, In: Proceedings of Machine Learning Research. 235, p. 9109-9137 29 p.

      Research output: Contribution to journal › Conference article › peer-review

    • Still-Moving: Customized Video Generation without Customized Video Data

      Chefer, H., Zada, S., Paiss, R., Ephrat, A., Tov, O., Rubinstein, M., Wolf, L., Dekel, T., Michaeli, T. & Mosseri, I., 19 Dec 2024, In: ACM Transactions on Graphics. 43, 6, 244.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

      Bar, A., Mulayoff, R., Michaeli, T. & Talmon, R., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 18, p. 20328-20336 9 p.

      Research output: Contribution to journal › Conference article › peer-review

      Open Access

    • The Perception-Robustness Tradeoff in Deterministic Image Restoration

      Ohayon, G., Michaeli, T. & Elad, M., 2024, In: Proceedings of Machine Learning Research. 235, p. 38599-38638 40 p.

      Research output: Contribution to journal › Conference article › peer-review

    • Uncertainty Visualization via Low-Dimensional Posterior Projections

      Yair, O., Nehme, E. & Michaeli, T., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. p. 11041-11051 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion

      Manor, H. & Michaeli, T., 2024, In: Proceedings of Machine Learning Research. 235, p. 34603-34629 27 p.

      Research output: Contribution to journal › Conference article › peer-review

    • 2023

      Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations

      Michaeli, H., Michaeli, T. & Soudry, D., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. p. 16333-16342 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Automation in Interior Space Planning: Utilizing Conditional Generative Adversarial Network Models to Create Furniture Layouts

      Tanasra, H., Rott Shaham, T., Michaeli, T., Austern, G. & Barath, S., 14 Jul 2023, In: Buildings. 13, 7, 1793.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Beyond Local Processing: Adapting CNNs for CT Reconstruction

      Hamoud, B., Bahat, Y. & Michaeli, T., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). p. 513-526 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13803 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Characterizing different cognitive and neurobiological profiles in a community sample of children using a non-parametric approach: An fMRI study

      Fekson, V. K., Michaeli, T., Rosch, K. S., Schlaggar, B. L. & Horowitz-Kraus, T., Apr 2023, In: Developmental Cognitive Neuroscience. 60, 101198.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Computer vision -- ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings.

      Karlinsky, L., Michaeli, T. & Nishino, K., 2023, Cham. ( Lecture Notes in Computer Science; vol. 13801-13809)

      Research output: Book/Report › Book › peer-review

    • Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration

      Adrai, T. J., Ohayon, G., Elad, M. & Michaeli, T., 2023, In: Advances in Neural Information Processing Systems. 36

      Research output: Contribution to journal › Conference article › peer-review

    • Internal Diverse Image Completion

      Alkobi, N., Rott Shaham, T. & Michaeli, T., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. p. 648-658 11 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint

      Freirich, D., Michaeli, T. & Meir, R., 2023, In: Advances in Neural Information Processing Systems. 36

      Research output: Contribution to journal › Conference article › peer-review

    • Power Awareness in Low Precision Neural Networks

      Eliezer, N. S., Banner, R., Ben-Yaakov, H., Hoffer, E. & Michaeli, T., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). p. 67-83 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13807 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Preface: Computer vision -- ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings.

      Michaeli, T., Karlinsky, L. & Nishino, K., 2023, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 13801 LNCS, p. VII

      Research output: Contribution to journal › Editorial

    • Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality

      Ohayon, G., Adrai, T., Elad, M. & Michaeli, T., 2023, In: Proceedings of Machine Learning Research. 202, p. 26474-26494 21 p.

      Research output: Contribution to journal › Conference article › peer-review

    • SinDDM: A Single Image Denoising Diffusion Model

      Kulikov, V., Yadin, S., Kleiner, M. & Michaeli, T., 2023, In: Proceedings of Machine Learning Research. 202, p. 17920-17930 11 p.

      Research output: Contribution to journal › Conference article › peer-review

    • THE IMPLICIT BIAS OF MINIMA STABILITY IN MULTIVARIATE SHALLOW RELU NETWORKS

      Nacson, M. S., Mulayoff, R., Ongie, G., Michaeli, T. & Soudry, D., 2023.

      Research output: Contribution to conference › Paper › peer-review

    • Uncertainty Quantification via Neural Posterior Principal Components

      Nehme, E., Yair, O. & Michaeli, T., 2023, In: Advances in Neural Information Processing Systems. 36

      Research output: Contribution to journal › Conference article › peer-review

    • 2021

      A Theory of the Distortion-Perception Tradeoff in Wasserstein Space

      Freirich, D., Michaeli, T. & Meir, R., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 25661-25672 12 p. (Advances in Neural Information Processing Systems; vol. 31).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Catch-A-Waveform: Learning to Generate Audio from a Single Short Example

      Greshler, G., Rott Shaham, T. & Michaeli, T., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 20916-20928 13 p. (Advances in Neural Information Processing Systems; vol. 25).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Contrastive Divergence Learning is a Time Reversal Adversarial Game

      Yair, O. & Michaeli, T., 2021, International Conference on Learning Representations. 15 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Deep Self-Dissimilarities as Powerful Visual Fingerprints

      Kligvasser, I., Rott Shaham, T., Bahat, Y. & Michaeli, T., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 3939-3951 13 p. (Advances in Neural Information Processing Systems; vol. 5).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • GAN ''Steerability'' without optimization

      Eliezer, N. S., Banner, R. & Michaeli, T., 2021, International Conference on Learning Representations. 59 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Learning Optimal Wavefront Shaping for Multi-Channel Imaging

      Nehme, E., Ferdman, B., Weiss, L. E., Naor, T., Freedman, D., Michaeli, T. & Shechtman, Y., 1 Jul 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 7, p. 2179-2192 14 p., 9439955.

      Research output: Contribution to journal › Article › peer-review

    • On Information Rates over a Binary-Input Filtered Gaussian Channel

      Peleg, M., Michaeli, T. & Shamai Shitz, S., 2021, 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2021. p. 330-333 4 p. (2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2021).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • On Information Rates over a Binary-Input Filtered Gaussian Channel

      Peleg, M., Michaeli, T. & Shamai, S., 2021, In: IEEE Open Journal of the Communications Society. 2, p. 2265-2272 8 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Sparsity Aware Normalization for GANs

      Kligvasser, I. & Michaeli, T., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. p. 8181-8190 10 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 9B).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Spatially-adaptive pixelwise networks for fast image translation

      Rott Shaham, T., Gharbi, M., Zhang, R., Shechtman, E. & Michaeli, T., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. p. 14877-14886 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • The Implicit Bias of Minima Stability: A View from Function Space

      Mulayoff, R., Michaeli, T. & Soudry, D., 2021, 35th Conference on Neural Information Processing Systems, NeurIPS 2021. p. 17749-17761 13 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Three-dimensional localization microscopy by deep learning

      Nehme, E., Ferdman, B., Freedman, D., Weiss, L. E., Gordon-Soffer, R., Naor, T., Kedem, R. O., Alalouf, O., Michaeli, T. & Shechtman, Y., 2021, In: Optics InfoBase Conference Papers.

      Research output: Contribution to journal › Conference article › peer-review

    • Three-dimensional localization microscopy by deep learning

      Nehme, E., Ferdman, B., Freedman, D., Weiss, L. E., Gordon-Soffer, R., Naor, T., Kedem, R. O., Alalouf, O., Michaeli, T. & Shechtman, Y., 2021, 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2021. (Optics InfoBase Conference Papers).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • What's in the Image? Explorable Decoding of Compressed Images

      Bahat, Y. & Michaeli, T., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. p. 2907-2916 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
    • 2020

      DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning: dense 3D localization microscopy and PSF design by deep learning

      Nehme, E., Freedman, D., Gordon, R., Ferdman, B., Weiss, L. E., Alalouf, O., Naor, T., Orange, R., Michaeli, T. & Shechtman, Y., 1 Jul 2020, In: Nature Methods. 17, 7, p. 734-740 7 p.

      Research output: Contribution to journal › Article › peer-review

    • Explorable Super Resolution

      Bahat, Y. & Michaeli, T., 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 2713-2722 10 p., 9157511.

      Research output: Contribution to journal › Conference article › peer-review

      Open Access

    • Publisher Correction: DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning (Nature Methods, (2020), 17, 7, (734-740), 10.1038/s41592-020-0853-5)

      Nehme, E., Freedman, D., Gordon, R., Ferdman, B., Weiss, L. E., Alalouf, O., Naor, T., Orange, R., Michaeli, T. & Shechtman, Y., 1 Jul 2020, In: Nature Methods. 17, 7, p. 749 1 p.

      Research output: Contribution to journal › Comment/debate

      Open Access

    • Unique properties of flat minima in deep networks

      Mulayoff, R. & Michaeli, T., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). p. 7065-7075 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-10).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2019

      Direct validation of the information bottleneck principle for deep nets

      Elad, A., Haviv, D., Blau, Y. & Michaeli, T., Oct 2019, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. p. 758-762 5 p. 9022174. (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Joint autoencoders: A flexible meta-learning framework

      Epstein, B., Meir, R. & Michaeli, T., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Bonchi, F., Gärtner, T., Hurley, N., Ifrim, G. & Berlingerio, M. (eds.). p. 494-509 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11051 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Multicolor localization microscopy and point-spread-function engineering by deep learning

      Hershko, E., Weiss, L. E., Michaeli, T. & Shechtman, Y., 2019, In: Optics Express. 27, 5, p. 6158-6183 26 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Multispectral reconstruction from reference objects in the scene

      Nussbaum Hoffer, N. & Michaeli, T., Oct 2019, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. p. 4350-4358 9 p. 9022587. (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • On the Minimal Overcompleteness Allowing Universal Sparse Representation

      Mulayoff, R. & Michaeli, T., Jun 2019, In: IEEE Transactions on Information Theory. 65, 6, p. 3585-3599 15 p., 8669883.

      Research output: Contribution to journal › Article › peer-review

      Open Access