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Dive into the research topics where Ido Cohen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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  • ENHANCING NEURAL TRAINING VIA A CORRELATED DYNAMICS MODEL

    Brokman, J., Betser, R., Turjeman, R., Berkov, T., Cohen, I. & Gilboa, G., 2024.

    Research output: Contribution to conferencePaperpeer-review

  • BASiS: Batch Aligned Spectral Embedding Space

    Streicher, O., Cohen, I. & Gilboa, G., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 10396-10405 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 proceedingConference contributionpeer-review

    Open Access
  • Modes of homogeneous gradient flows

    Cohen, I., Azencot, O., Lifshits, P. & Gilboa, G., 2021, In: SIAM Journal on Imaging Sciences. 14, 3, p. 913-945 33 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    3 Scopus citations
  • Total-Variation Mode Decomposition

    Cohen, I., Berkov, T. & Gilboa, G., 2021, Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J. & Simon, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 52-64 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12679 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Introducing the p-Laplacian spectra

    Cohen, I. & Gilboa, G., Feb 2020, In: Signal Processing. 167, 107281.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    9 Scopus citations