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Eran Treister

 https://orcid.org/0000-0002-5351-0966
20092026

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  • 2025

    Wavelet Convolutions for Large Receptive Fields

    Finder, S. E., Amoyal, R., Treister, E. & Freifeld, O., 1 Jan 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 363-380 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15112 LNCS).

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

    70 Scopus citations
  • 2024

    Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification

    Eliasof, M., Haber, E. & Treister, E., 16 Oct 2024, ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarin-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). IOS Press BV, p. 2508-2515 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).

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

    Open Access

  • Feature Transportation Improves Graph Neural Networks

    Eliasof, M., Haber, E. & Treister, E., 25 Mar 2024, Technical Tracks 14. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 11 ed. Association for the Advancement of Artificial Intelligence, p. 11874-11882 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 11).

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

    Open Access
    9 Scopus citations
  • 2023

    Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks

    Akiva-Hochman, R., Finder, S. E., Turek, J. S. & Treister, E., 1 Jan 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 130-143 14 p. (Lecture Notes in Computer Science; vol. 13807 LNCS).

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

    2 Scopus citations
  • 2022

    RETHINKING UNSUPERVISED NEURAL SUPERPIXEL SEGMENTATION

    Eliasof, M., Zikri, N. B. & Treister, E., 1 Jan 2022, 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings. Institute of Electrical and Electronics Engineers, p. 3500-3504 5 p. (Proceedings - International Conference on Image Processing, ICIP).

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

    Open Access
    9 Scopus citations

  • Wavelet Feature Maps Compression for Image-to-Image CNNs

    Finder, S. E., Zohav, Y., Ashkenazi, M. & Treister, E., 1 Jan 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

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

    14 Scopus citations
  • 2021

    PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations

    Eliasof, M., Haber, E. & Treister, E., 1 Jan 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.). Neural information processing systems foundation, p. 3836-3849 14 p. (Advances in Neural Information Processing Systems; vol. 5).

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

    90 Scopus citations
  • 2019

    IMEXNet - A forward stable deep neural network

    Haber, E., Lensink, K., Treister, E. & Ruthotto, L., 1 Jan 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 4473-4482 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

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

    13 Scopus citations
  • 2016

    Joint full waveform inversion and travel time tomography

    Treister, E. & Haber, E., 1 Jan 2016, 78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential. European Association of Geoscientists and Engineers, EAGE, (78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential).

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

    3 Scopus citations
  • 2012

    A multilevel iterated-shrinkage approach to l-1 penalized least-squares minimization

    Treister, E. & Yavneh, I., 1 Dec 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012. 6377004. (2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012).

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

    1 Scopus citations