Ofir Lindenbaum

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Ofir Lindenbaum

 https://orcid.org/0000-0002-5990-742X
20102024

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  • 2024

    Efficient Verification-Based Face Identification

    Rozner, A., Battash, B., Lindenbaum, O. & Wolf, L., 31 May 2024, 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). IEEE, p. 1-10 10 p. 10582040

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

  • Interpretable Deep Clustering for Tabular Data

    Svirsky, J. & Lindenbaum, O., 2024, Forty-first International Conference on Machine Learning.

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

  • 2023

    Domain and Modality Adaptation Using Multi-Kernel Matching

    Yampolsky, T. B., Talmon, R. & Lindenbaum, O., 2023, 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 1285-1289 5 p. (European Signal Processing Conference).

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

  • Neuronal Cell Type Classification Using Locally Sparse Networks

    Ophir, O., Shefi, O. & Lindenbaum, O., 2023, ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. Institute of Electrical and Electronics Engineers Inc., (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings).

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

    1 Scopus citations
  • 2021

    Differentiable Unsupervised Feature Selection based on a Gated Laplacian

    Lindenbaum, O., Shaham, U., Peterfreund, E., Svirsky, J., Casey, N. & Kluger, Y., 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. 1530-1542 13 p. (Advances in Neural Information Processing Systems; vol. 3).

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

    18 Scopus citations
  • 2020

    Feature selection using stochastic gates

    Yamada, Y., Lindenbaum, O., Negahban, S. & Kluger, Y., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 10579-10590 12 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-14).

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

    55 Scopus citations

  • Variational Diffusion Autoencoders with Random Walk Sampling

    Li, H., Lindenbaum, O., Cheng, X. & Cloninger, A., 2020, Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J.-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 362-378 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12368 LNCS).

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

    8 Scopus citations
  • 2017

    Bandwidth selection for kernel-based classification

    Lindenbaum, O., Yeredor, A. & Averbuch, A., 4 Jan 2017, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 7806089. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

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

    3 Scopus citations

  • Multi-channel fusion for seismic event detection and classification

    Lindenbaum, O., Rabin, N., Bregman, Y. & Averbuch, A., 4 Jan 2017, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 7806088. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

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

    13 Scopus citations

  • Multi-view kernel-based data analysis

    Averbuch, A., Salhov, M., Lindenbaum, O., Silberschatz, A. & Shkolnisky, Y., 4 Jan 2017, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 7806187. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

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

  • 2016

    Clustering Based on MultiView Diffusion Maps

    Lindenbaum, O., Yeredor, A. & Averbuch, A., 2 Jul 2016, Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. Domeniconi, C., Gullo, F., Bonchi, F., Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Baeza-Yates, R., Baeza-Yates, R., Zhou, Z.-H. & Wu, X. (eds.). IEEE Computer Society, p. 740-747 8 p. 7836740. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 0).

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

    2 Scopus citations
  • 2015

    Learning coupled embedding using multiview diffusion maps

    Lindenbaum, O., Yeredor, A. & Salhov, M., 2015, Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Proceedings. Koldovský, Z., Vincent, E., Yeredor, A. & Tichavský, P. (eds.). Springer Verlag, p. 127-134 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9237).

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

    12 Scopus citations
  • 2013

    Blind separation of spatially-block-sparse sources from orthogonal mixtures

    Lindenbaum, O., Yeredor, A., Vitek, R. & Mishali, M., 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2013. 6661896. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).

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

  • 2010

    Musical features extraction for audio-based search

    Lindenbaum, O., Maskit, S., Kutiel, O. & Nave, G., 2010, 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010. p. 87-91 5 p. 5661916. (2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010).

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

    1 Scopus citations
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